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computing, obtained within a maximum of 7 years; application of machine learning and deep learning methods to remote sensing images; proficiency in programming (R, Python, or similar); ability to work
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reproducible methods to complex population, clinical, and molecular data using R, Python, SAS, or related tools, with well-documented code and analytic workflows. Collaborate and communicate effectively with
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Python and SAS could be an advantage. Those with less experience may be considered as Research Assistant I/II. The appointee will work on research projects related to health service research, and assist in
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on imaging concepts, knowledge of Matlab, Python programming languages and commercial software based on the finite element method is a plus, excellent communication skills (written and oral) in English. A very
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, computational modeling, and data analytics. Experience leading full-scale structural testing. Proficiency in Python or equivalent programming language. Experience with high-performance and high-throughput
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desirable For computationally focused candidates: proficiency in a scripting language (e.g., Python, R) and experience analyzing next-generation sequencing data; experience with statistical modeling
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development, programming (Python, Julia, C++, Fortran, etc), and excellent oral and written communication skills are required. Additional qualifications The ideal candidate has experience in developing
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R or Python programming Tissue culture techniques Animal models Interest in translational cancer research, immunotherapy, and neuro-oncology. Other Requirements Ability to work with patient-derived
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or CP2K on massively parallel architectures. Solid skills in common scientific programming languages, in particular languages such as FORTRAN, C, C++, and Python Experience in parallel programming with one
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completed within the last 5 years or expected to be completed soon. Expertise in AI/ML methods in an environmental or Earth science context Experience programming in Python or related languages A strong