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computational scientific workflows. Experience with scientific programming (Python or similar) Experience working in Linux-based computational environments Documented experience with high-performance computing
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modeling (60%); b) Experience in participating in research projects (20%); c) Experience in programming in Python and related languages (20%). 10. Composition of the Selection Jury: Ana Isabel Pereira José
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and deploy advanced deep learning and foundation models for surgical scene understanding segmentation, tracking, and operator assistance. You will write, test, and optimise Python and C++ code for real
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competence in programming with Python and working on Linux based platform is essential for this position, as is a background in either Mechanical Engineering, Material Science, Applied Physics and/or similar
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, surveys, meta-analyses, cost-benefit analysis you have some experience with chosen coding language, such as R or python you are enthusiastic about communicating research to academic and non-academic
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publication in a peer-reviewed journal or conference proceeding Proficiency in programming languages such as Python, R, and/or SAS Experience working with EHR, administrative claims and/or omics data is highly
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statistical tools (R and/or Python). Develop and conduct optimisation modelling (e.g. electricity market and grid dispatch). Assist in literature reviews and summarising academic research. Contribute to writing
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: Contribute code in Python (and/or C++/JavaScript), work with APIs, and support cloud-based workflows (Google Cloud/Azure experience is a plus). Documentation and communication: Maintain clear technical
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 days ago
Engineering, Computer Science, Applied Mathematics or a related field. - A strong background in image processing or/and in computer vision is required. - Strong programming skills in Python. - Strong
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dynamical systems. Programming skills (Python, MATLAB, or equivalent). Interest in quantitative modelling of biological systems. Ability to work with interdisciplinary data (omics and imaging). Desirable