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, preferably in Python Strong ability to work in teams Perseverance and ability to get things done A high motivation and commitment to excel in your work Willingness to travel, attendance of national and
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qualifications: Applicants must hold a PhD degree in computer science, bioinformatics or similar. The applicant must be proficient in programming in Python and Java script. Have strong cooperation and
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Python, and a genuine interest in supporting others while building scalable, well-designed analysis pipelines. This role is ideal for someone with a background in neuroscience or computational data science
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ensure models can be deployed in large data real-world scenarios. Strong programming skills in Python, PyTorch, and/ or JAX are required, along with the ability to reason about neural network behavior from
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datasets Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer The successful candidates will
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Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application Application files should contain a resumé, an application letter and grade records of the 2 last
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chromatin biochemistry and in vitro reconstitution o bioinformatics workflows (R/Python), statistics, reproducible analysis o third generation sequencing (e.g. Oxford Nanopore) fluent English language
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or data-analysis skills (e.g. Python, MATLAB) experience in collaborative or international research environments We offer you an exciting and interdisciplinary research environment within the BlueMat
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programming skills in C++ and/or Python; experience with high-performance or real-time computing, e.g. GPU, multi-core, embedded, is desirable Prior experience with SOFA is a clear advantage; experience with