Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- United Kingdom
- Sweden
- Spain
- Singapore
- Netherlands
- Poland
- Portugal
- Denmark
- Norway
- Belgium
- Finland
- Italy
- Cyprus
- Ireland
- Luxembourg
- Canada
- Switzerland
- Austria
- Czech
- United Arab Emirates
- Hong Kong
- Morocco
- Australia
- China
- Romania
- Andorra
- Japan
- Latvia
- Malta
- New Zealand
- 23 more »
- « less
-
Program
-
Field
-
programmation (par exemple en R, Matlab ou Python), ainsi qu'une pratique musicale seront appréciées. Une forte motivation, de la curiosité, de la créativité, de la persévérance, ainsi que la capacité à
-
and programming skills, namely in the use of MATLAB and Python. Candidates who do not meet these requirements will be excluded. Additional optional skills and qualifications: Proven experience in
-
-structure-sediment interactions Post-processing and analysis of large datasets using Python/MATLAB Supervision of project-related student internships and master theses Dissemination of results through
-
, modeling and simulation of industrial processes. Proficiency in chemical process simulation software (e.g., gPROMS, Aspen, DWSIM, UNISIMDESIGN). Strong programming skills in Python and/or MATLAB
-
(e.g., Python, MATLAB), statistical programming languages (e.g., R, SPSS, SAS), and/or stimulus presentation software (e.g., Psychtoolbox, Presentation, ExperimentBuilder, PsychoPy) is desired. 5
-
ends 8/31/2026. Required Qualifications The person applying for this position should be proficient in Excel, Python or MATLAB. Desired Qualifications Training provided. Special Instructions to Applicants
-
of Brice Bathellier (Institut Audition), Virginie van Wassenhove (NeuroSpin), and Mehrdad Jazayeri (MIT). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/SNC9138-SRDOST-010/Default.aspx Requirements
-
, monitoring, data acquisition and processing in MATLAB and cross-platform Python (Windows and Linux) and experience in integration of systems for synchronised acquisition and aggregation of data sources
-
issues. Proficiency in urban modeling tools such as MATLAB, Python (especially libraries like Pandas, NumPy, SciPy, GeoPandas, etc.), and R. Advanced skills in predictive modeling and machine learning
-
and perform simulations using established software like MEEP and COMSOL, as well as custom-written code based on languages like C++, Python, Matlab Lead papers and publish in high-impact journals