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with biological datasets; experience with R, Python, or omics analysis pipelines is advantageous but a keen willingness to learn is equally valued Language Requirements: Applicants must demonstrate
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Cardioembolic Stroke Risk Stratification using AI Accelerated Patient-Specific Blood Flow Simulation
to work in the medical field • Good coding skills in Python • Fluent in English (Reading, Writing, Speaking) Contact People Send a CV and motivation leder to: maxime.sermesant@inria.fr, nadjia.kachenoura
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research, research data management and data quality control Demonstrable computer programming skills are essential, with good knowledge of CLI and Python/R Proven experience using REDCap for the design
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the following areas: Data analysis and programming, e.g. Python, R GIS and spatial analysis Data visualisation Language Requirements: Applicants must demonstrate at least B2-level proficiency in the language of
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biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch, MONAI) Strong interest in image analysis
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strong background in optimization and machine learning. Good coding skills in Python, PyTorch are welcomed. Application Applications should contain a CV, a motivation letter, the grade records of the last
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synucleinopathies Familiarity with multi-omics approaches, e.g., snRNA-seq Experience with image quantification software and/or basic data analysis in R or Python Experience working in interdisciplinary and
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algorithms. Good coding skills in Python, PyTorch, together with a general interest in biology are welcomed. Application Applications should contain a CV, a motivation letter, and the names and contact
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, computational biology, bioinformatics, data science, or related fields Strong interest in clinical and biomedical data, translational research, and health informatics Experience with programming skills in Python
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Strong background in differential equations and numerical methods Solid programming skills e.g. Python, C++, Julia or similar Interest in interdisciplinary research bridging mathematics and environmental