2 year #Postdoc position with the option of extension. Deadline for application is August 16.
The new Center for Synergy of Systems (SynoSys) develops transdisciplinary approaches and methods in the fields of network science, data science and citizen science in order to conduct integrative research into complex phenomena at the interfaces between biomedicine, social sciences and life sciences.
https://www.verw.tu-dresden.de/StellAus/stelle.asp?id=11538&lang=en
The new Center for Synergy of Systems (SynoSys) develops transdisciplinary approaches and methods in the fields of network science, data science and citizen science in order to conduct integrative research into complex phenomena at the interfaces between biomedicine, social sciences and life sciences.
https://www.verw.tu-dresden.de/StellAus/stelle.asp?id=11538&lang=en
www.verw.tu-dresden.de
Vacancy ID 11538
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I am looking for at least one #postdoc researcher with an initial appointment till March 2026, which may be extendable befond March 2026 (with a realistic probability). The work location is the State University of New York at Buffalo, Buffalo, NY, USA. The postdoc will be advised by Professor Naoki Masuda
and housed in the Department of Mathematics (while the research itself is more data analytic, bioinformatic, and/or computational, rather than mathematical).
The project has multiple subtopics, and priority areas are (i) gene network analysis and (ii) other (specific) biomedical data analysis related to network analysis (early warning, health behavior, etc.). The project is at intersection between network science and biology/biomedicine.
Experience in bioinformatics in broad terms, genome biology, network science, data science, time series analysis, or related fields, and good communication skills are desired.
If interested, please email to naokimas@gmail.com
and housed in the Department of Mathematics (while the research itself is more data analytic, bioinformatic, and/or computational, rather than mathematical).
The project has multiple subtopics, and priority areas are (i) gene network analysis and (ii) other (specific) biomedical data analysis related to network analysis (early warning, health behavior, etc.). The project is at intersection between network science and biology/biomedicine.
Experience in bioinformatics in broad terms, genome biology, network science, data science, time series analysis, or related fields, and good communication skills are desired.
If interested, please email to naokimas@gmail.com
#Postdoc position on the science of science available at Indiana University.
indiana.peopleadmin.com/postings/25173
indiana.peopleadmin.com/postings/25173
Peopleadmin
Post-doctoral Fellow (Science of Science)
The Luddy School of Informatics, Computing, and Engineering seeks a post-doctoral fellow in the area of science of science. Position is for 1 year with a possibility of an extension of an additional year.The successful candidate will work with Prof. Santo…
From Ronald Ross to ChatGPT: the birth and strange life of the random walk Jordan Ellenberg
https://youtu.be/08FGB5x090M?si=DFdtl3BrMvSddywL
Between 1905 and 1910 the idea of the random walk, now a major topic in applied maths, was invented simultaneously and independently by multiple people in multiple countries for completely different purposes – in the UK, the story starts with Ronald Ross and the problem of mosquito control, but elsewhere, the theory was being developed in domains from physics to finance to winning a theological argument (really!).
Jordan tells some part of this story and also gesture at ways that random walks (or Markov processes, named after the theological arguer) underlie current approaches to artificial intelligence; he touches on some of his own work with DeepMind and speculates about the capabilities of those systems now and in the future.
Jordan Ellenberg is a Professor of Mathematics at the University of Wisconsin-Madison.
https://youtu.be/08FGB5x090M?si=DFdtl3BrMvSddywL
Between 1905 and 1910 the idea of the random walk, now a major topic in applied maths, was invented simultaneously and independently by multiple people in multiple countries for completely different purposes – in the UK, the story starts with Ronald Ross and the problem of mosquito control, but elsewhere, the theory was being developed in domains from physics to finance to winning a theological argument (really!).
Jordan tells some part of this story and also gesture at ways that random walks (or Markov processes, named after the theological arguer) underlie current approaches to artificial intelligence; he touches on some of his own work with DeepMind and speculates about the capabilities of those systems now and in the future.
Jordan Ellenberg is a Professor of Mathematics at the University of Wisconsin-Madison.
YouTube
From Ronald Ross to ChatGPT: the birth and strange life of the random walk - Jordan Ellenberg
Between 1905 and 1910 the idea of the random walk, now a major topic in applied maths, was invented simultaneously and independently by multiple people in multiple countries for completely different purposes – in the UK, the story starts with Ronald Ross…
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#postdoc to develop an Agent-Based Model (#ABM) that simulates the socio-economic impacts of local transformation processes on the economy and population.
ℹ️ csh.ac.at/engage/jobs/
ℹ️ csh.ac.at/engage/jobs/
92 Tweets from a mathematical physicist on Entropy in form of a book:
http://math.ucr.edu/home/baez/what_is_entropy.pdf
http://math.ucr.edu/home/baez/what_is_entropy.pdf
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#PhD position in computational social science at TU Graz
https://jobs.tugraz.at/en/jobs/54e87f3a-36f8-a13a-b6ae-6577fa57cbfd
https://jobs.tugraz.at/en/jobs/54e87f3a-36f8-a13a-b6ae-6577fa57cbfd
Statistical Laws in Complex Systems
Eduardo G. Altmann
Statistical laws describe regular patterns observed in diverse scientific domains, ranging from the magnitude of earthquakes (Gutenberg-Richter law) and metabolic rates in organisms (Kleiber's law), to the frequency distribution of words in texts (Zipf's and Herdan-Heaps' laws), and productivity metrics of cities (urban scaling laws). The origins of these laws, their empirical validity, and the insights they provide into underlying systems have been subjects of scientific inquiry for centuries. This monograph provides an unifying approach to the study of statistical laws, critically evaluating their role in the theoretical understanding of complex systems and the different data-analysis methods used to evaluate them. Through a historical review and a unified analysis, we uncover that the persistent controversies on the validity of statistical laws are predominantly rooted not in novel empirical findings but in the discordance among data-analysis techniques, mechanistic models, and the interpretations of statistical laws. Starting with simple examples and progressing to more advanced time-series and statistical methods, this monograph and its accompanying repository provide comprehensive material for researchers interested in analyzing data, testing and comparing different laws, and interpreting results in both existing and new datasets.
https://arxiv.org/abs/2407.19874
Eduardo G. Altmann
Statistical laws describe regular patterns observed in diverse scientific domains, ranging from the magnitude of earthquakes (Gutenberg-Richter law) and metabolic rates in organisms (Kleiber's law), to the frequency distribution of words in texts (Zipf's and Herdan-Heaps' laws), and productivity metrics of cities (urban scaling laws). The origins of these laws, their empirical validity, and the insights they provide into underlying systems have been subjects of scientific inquiry for centuries. This monograph provides an unifying approach to the study of statistical laws, critically evaluating their role in the theoretical understanding of complex systems and the different data-analysis methods used to evaluate them. Through a historical review and a unified analysis, we uncover that the persistent controversies on the validity of statistical laws are predominantly rooted not in novel empirical findings but in the discordance among data-analysis techniques, mechanistic models, and the interpretations of statistical laws. Starting with simple examples and progressing to more advanced time-series and statistical methods, this monograph and its accompanying repository provide comprehensive material for researchers interested in analyzing data, testing and comparing different laws, and interpreting results in both existing and new datasets.
https://arxiv.org/abs/2407.19874
arXiv.org
Statistical Laws in Complex Systems
Statistical laws describe regular patterns observed in diverse scientific domains, ranging from the magnitude of earthquakes (Gutenberg-Richter law) and metabolic rates in organisms (Kleiber's...
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2025 Complexity #Postdoc Fellowships.
Complexity Fellows contribute to SFI’s research and collaborate with leading researchers worldwide.
If you’ve completed your PhD in any scientific discipline, and are interested in transdisciplinary research, consider this unique opportunity at the Santa Fe Institute.
Applications are open until October 11 – check out application requirements and benefits here:
https://apply-sfi.smapply.org/prog/complexity_postdoctoral_fellowship_/
Complexity Fellows contribute to SFI’s research and collaborate with leading researchers worldwide.
If you’ve completed your PhD in any scientific discipline, and are interested in transdisciplinary research, consider this unique opportunity at the Santa Fe Institute.
Applications are open until October 11 – check out application requirements and benefits here:
https://apply-sfi.smapply.org/prog/complexity_postdoctoral_fellowship_/
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In the process of building the new Center Synergy of Systems (SynoSys), (https://synosys.github.io) at Technische Universität Dresden we are looking for a data visualization specialist to develop interactive, web-based visualizations of our research. If you share our interest of anti-disciplinary research and bring the required skills, have a look at the job post and apply.
https://lnkd.in/e9Zh3F4g
https://lnkd.in/e9Zh3F4g
SynoSys
Center Synergy of Systems, Department of the Center of Interdisciplinary Digital Science (CIDS)
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Forwarded from Sitpor.org سیتپـــــور
Media is too big
VIEW IN TELEGRAM
A Deep Dive into Aalto ScienceIT Project:
An Interview with Richard Darst
🎞 Video on YouTube 🎧 Audio
Richard Darst from Aalto Science IT discusses the transition from chemistry to network science, emphasizing the importance of software engineering support & practical training for researchers. He explains the development and benefits of Aalto’s Triton HPC cluster and JupyterHub, and how his team assists researchers with essential computational tools and user-friendly training programs. A must-watch for anyone interested in scientific computing and interdisciplinary collaboration.
• The Aalto Research Software Engineers (RSEs)
• CodeRefinery Project
• Triton HPC Cluster
• Aalto Science IT Services
🔗 Don’t forget to like, comment, and subscribe for more: youtube.com/AbbasKRizi
----------------------------------------------
@sitpor | sitpor.org
instagram.com/sitpor_media
#سیتپـــــور به خاطر روایتگری در علم
An Interview with Richard Darst
🎞 Video on YouTube 🎧 Audio
Richard Darst from Aalto Science IT discusses the transition from chemistry to network science, emphasizing the importance of software engineering support & practical training for researchers. He explains the development and benefits of Aalto’s Triton HPC cluster and JupyterHub, and how his team assists researchers with essential computational tools and user-friendly training programs. A must-watch for anyone interested in scientific computing and interdisciplinary collaboration.
• The Aalto Research Software Engineers (RSEs)
• CodeRefinery Project
• Triton HPC Cluster
• Aalto Science IT Services
🔗 Don’t forget to like, comment, and subscribe for more: youtube.com/AbbasKRizi
----------------------------------------------
@sitpor | sitpor.org
instagram.com/sitpor_media
#سیتپـــــور به خاطر روایتگری در علم
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2408.00702v1.pdf
4.1 MB
Future directions in human mobility science
We provide a brief review of human mobility science and present three key areas where we expect to see substantial advancements. We start from the mind and discuss the need to better understand how spatial cognition shapes mobility patterns. We then move to societies and argue the importance of better understanding new forms of transportation. We conclude by discussing how algorithms shape mobility behavior and provide useful tools for modelers. Finally, we discuss how progress on these research directions may help us address some of the challenges our society faces today.
https://www.nature.com/articles/s43588-023-00469-4
We provide a brief review of human mobility science and present three key areas where we expect to see substantial advancements. We start from the mind and discuss the need to better understand how spatial cognition shapes mobility patterns. We then move to societies and argue the importance of better understanding new forms of transportation. We conclude by discussing how algorithms shape mobility behavior and provide useful tools for modelers. Finally, we discuss how progress on these research directions may help us address some of the challenges our society faces today.
https://www.nature.com/articles/s43588-023-00469-4
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#PhD student interested in combining social network research with analysis of digital trace data in the domain of music tastes and cultural consumption!
https://sn.ethz.ch/
https://sn.ethz.ch/
ETH Zurich
Homepage
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If you're interested in working with me and you’re one of the rare folks who meet these requirements and still want to stick around in academia, you might join me as a #postdoc in Madrid!
- You have a PhD.
- You’ve got a solid understanding of neural dynamics and good experience with neural modeling.
- You’ve worked with EEG or brain stimulation.
- You have a PhD.
- You’ve got a solid understanding of neural dynamics and good experience with neural modeling.
- You’ve worked with EEG or brain stimulation.
Linkedin
Alireza Valizadeh on LinkedIn: If you're interested in working with me and you’re one of the rare folks… | 19 comments
If you're interested in working with me and you’re one of the rare folks who meet these requirements and still want to stick around in academia, you might join… | 19 comments on LinkedIn
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Swiss Government Excellence Scholarships at #phd and #PostDoc Levels for research or study at Swiss universities and research/techology institutes.
https://www.sbfi.admin.ch/sbfi/en/home/education/scholarships-and-grants/swiss-government-excellence-scholarships.html#632937668
https://www.sbfi.admin.ch/sbfi/en/home/education/scholarships-and-grants/swiss-government-excellence-scholarships.html#632937668
www.sbfi.admin.ch
Swiss Government Excellence Scholarships 2026 – 2027
Each year the Swiss Confederation awards Government Excellence Scholarships to encourage international exchange and research cooperation between Switzerland and over 180 other countries. Recipients are selected by the awarding body, the Federal Commission…
🦬 Faculty positions open at CU Boulder's BioFrontiers Institute!
https://jobs.colorado.edu/jobs/JobDetail/?jobId=57065
- focus areas include parasites & pathogens, comp bio
- tenure home in dept that fits best for you
- wonderful environment & culture
- multiple Asst. Prof hires expected
https://jobs.colorado.edu/jobs/JobDetail/?jobId=57065
- focus areas include parasites & pathogens, comp bio
- tenure home in dept that fits best for you
- wonderful environment & culture
- multiple Asst. Prof hires expected
jobs.colorado.edu
Assistant Professor
Assistant Professor at created 4-Jun-2024
#Postdoc Fellow: Molecular Modelling & Machine Learning
Gothenburg, Sweden
https://careers.astrazeneca.com/job/gothenburg/postdoctoral-fellow-molecular-modelling-and-machine-learning/7684/69196037264
Gothenburg, Sweden
https://careers.astrazeneca.com/job/gothenburg/postdoctoral-fellow-molecular-modelling-and-machine-learning/7684/69196037264
Astrazeneca
Postdoctoral Fellow: Molecular Modelling & Machine Learning at AstraZeneca
Learn more about applying for Postdoctoral Fellow: Molecular Modelling & Machine Learning at AstraZeneca
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#postdoc positions
a) online social media and disinformation
b) human mobility.
https://jobs.fbk.eu/Annunci/Offerte_di_lavoro_Two_positions_for_Researchers_in_the_field_of_Analysis_and_Modelling_of_Human_Behaviour_from_Digital_Traces_232371974.htm
a) online social media and disinformation
b) human mobility.
https://jobs.fbk.eu/Annunci/Offerte_di_lavoro_Two_positions_for_Researchers_in_the_field_of_Analysis_and_Modelling_of_Human_Behaviour_from_Digital_Traces_232371974.htm
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