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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 23 hours ago
intracellular processes from the data. Implement methods in Python or Julia. Use the BRP framework to analyse single-cell E. coli datasets from our laboratory [5] and other datasets to relate growth phenotypes
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microcontrollers (e.g., Arduino). Analysis and processing of biological signals Development of algorithms in Python for real-time signal processing. Extraction and analysis of multi-signal cross-frequency coupling
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ExperienceNone Additional Information Eligibility criteria Python programming. Analysis and development of ML and DL models using standard data science libraries. Data engineering from molecular dynamics
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mathematical problems with equilibrium constraints Knowledge of simulation/modelling and development tools - MATLAB, Python and mathematical programming language Experience with optimisation solvers would be
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applications from candidates that hold a PhD in Physics or a related area. The successful candidate is expected to have an excellent background in soft matter physics, experience in programming (e.g., python, C
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candidate has experience in coding numerical solutions to partial differential equations via the finite element method / finite differences schemes and programming skills in Mathematica, Matlab, Python
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Experience1 - 4 Research FieldGeosciencesYears of Research Experience1 - 4 Additional Information Eligibility criteria Python programming to automate processing chain Handling optical, radar, and lidar imagery
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hold a PhD (or equivalent) in high-energy astrophysics, obtained no earlier than December 1, 2023. Prior experience in gamma-ray astronomy is desirable, but not required. Strong Python programming
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neurofeedback would be an asset. • Proficiency in data analysis tools (Python, MATLAB, neuroimaging software). • Familiarity with human experimental protocols and clinical best practices. • Knowledge of ethical
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the preparation of technology transfer and valorization steps. • Software development (Python, PsychoPy, real-time analysis and visualization tools). • Integration of acquisition modules (EEG, fMRI