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Field
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training deep learning models on biological, chemical or related datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
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of Python programming. - Development of IT tools for use in real environments. - Knowledge of simulation methodologies. Minimum requirements: Past experience (or academic training) in Artificial Intelligence
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: Advanced knowledge of a programming language (e.g. Python, C++). 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises the Academic
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stages of PhD submission * Strong track record of scientific contribution, as evidenced by publications, preprints, or submitted manuscripts * Experience in coding in Python or MATLAB * Please see the full
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. These experiments will be combined with optogenetic tools for causal manipulations of neural circuits during learning and sleep. Additionally, data analysis using MATLAB (or Python) will be used to analyse neural
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are welcome. Demonstrated proficiency in data management, data harmonization, and advanced data analysis techniques. Strong programming skills in Python, R, and/or similar software. Experience working with
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programming and analytical skills (e.g., Python, R, GIS, modeling frameworks). Experience working with EO data, disease surveillance data, or socio-environmental modeling. Demonstrated interest in
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, automatic testing, program synthesis Excellent background and experience in programming language, especially python Good communication and report-writing skills Strong responsibility for research and work We
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experiments. Interested in the challenges of the energy transition. Fluent in English (French is a plus but not required) Publications in academic journals are a plus. Proficient in R, Stata, or Python. Where
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of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience of C/C++/C#, TensorFlow would be beneficial