Complex Systems Studies
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What's up in Complexity Science?!
Check out here:

@ComplexSys

#complexity #complex_systems #networks #network_science

📨 Contact us: @carimi
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Time Series Analysis From the Ground Up

You can now download the slide deck from our Intro to Time Series tutorial:

https://t.co/6AiGOPZAlh

#Data Science #Timeseries #ARIMA #MachineLearning #Tutorial
💰 We are looking for a #postdoc

https://www.fz-juelich.de/inm/inm-7/EN/Home/home_node.html

Join us to develop & apply new approaches for #MachineLearning on neuroimaging and clinical datasets.
Would you like to become an #highperformancecomputing expert? Would you like to become a #MachineLearning geek?

Join the @mhpc_sissa_ictp master held in Trieste by Sissa and ictp, two amazing scientific institutions! #Science #innovation #MachineLearning #aiforgood

standard #Applications for MHPC 2020/2021 are now open!
Here you can find the link to submit your application: https://t.co/aVPjQkT4bX
چهارشنبه ساعت۱۸:۳۰ به وقت تهران

What don’t we know about #machinelearning? Dive in with this Joint ICTP-SISSA Online Colloquium tomorrow, 22 July, at 16:00 CET!

Here’s all the info & how to join in 🎥 https://t.co/6VxNZLoy69
NeurIPS2020 workshop on 'Topological Data Analysis & Beyond' is open for submissions now:

https://t.co/4KhsCW0QXb

This is your chance to showcase work that combines #MachineLearning and #Topology.
💰 We are currently looking for passionate Data Engineers and Data Scientists for our HQ in Berlin, who can improve food-delivery experience for millions of our customers, present in more than 40 countries!

You will develop innovative systems to automate marketing campaigns, design a tailored user experience for each customer and question the existing decision-making processes with ML and advanced analytics solutions.If you're a creative problem solver who is eager to deliver solutions and hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!

Senior data engineer (Python):
https://lnkd.in/dvzFPZU

Senior data scientist:
https://lnkd.in/dMaCQgC

#dataengineering #datascience #machinelearning #ml #data #deliveryhero

Quick peek at what the team does:
https://lnkd.in/dP2cuNf
“The Hitchhiker's Guide to #CondensedMatter and #StatisticalPhysics” is a series of virtual events that will provide a roadmap of current research directions in the field.

🔹 Register to the first virtual school on #MachineLearning for CM by November 30: https://t.co/WvX1sbYFwE
“The Hitchhiker's Guide to #CondensedMatter and #StatisticalPhysics” is a series of virtual events that will provide a roadmap of current research directions in the field.

🔹 Register to the first virtual school on #MachineLearning for CM by November 30: http://indico.ictp.it/event/9471/
💰 I'm hiring 2 graduate students for my ERC project, focused on predicting depression onset in 2,000 students. Looking for a #PhD position? Come work with me @UniLeiden!

Core topics: #depression, #complexity, #timeseries, #networks, #EMA, & #MachineLearning.

You can find the 2 positions in the link below.
https://t.co/jGQIPX2DuG

Here is a blog in which I describe the project in some more detail, including a short video. /
https://t.co/pdZx1k7xXW
Applications for ICTP full scholarships for the Master in High Performance Computing @mhpc_sissa_ictp for candidates from Developing Countries are now open!

Deadline: 30 April

MHPC is an innovative specialization program that prepares students for exciting careers in the fast-growing field of #HPC
#computing #highperformancecomputing #AI #MachineLearning #DeepLearning #programming #Algorithms
More info 👉 https://t.co/Jg2esS8hvY
Looking for a #postdoc in computational mechanics applied to #materials #physics and #biophysics. You'll also have the opportunity to learn and develop scientific #MachineLearning methods related to these problems. Check us out: https://t.co/df5oPmTm0C
AI4Science #Call for fellows!
Deadline: Oct. 31, 2022

The #Fellowship gives researchers the chance to collaborate EPFL faculties on accelerating the use and furthering the understanding of #MachineLearning methods in the scientific discovery process. You hold a PhD, in any field relevant to this endeavour, are fluent in English and have a collaborative spirit.

https://www.epfl.ch/research/domains/cis/call-for-fellows/
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