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Field
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proteomic/metabolomic data integration * Integration of clinical and multi-omic microbiome data. * Biologically informed data interpretation * Experience with Python, R and command line Ideal candidate: A
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statistical programming using R and/or Python, with experience in data management, analysis, and visualisation. You must have demonstrated experience working with large-scale biological datasets, preferably
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dynamics, and materials chemistry. Strong Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus.Candidates should apply at
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fibers, optical and optomechanical components are desired. Experience in scientific programming using MATLAB/Python/C/C++ for data analysis and algorithm development will be favorably considered. Good
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quantitative geoscientific data. • Experience with one programming languages e.g. Python, Matlab, R. Critères essentiels : - Être titulaire d'un doctorat en géomorphologie ou dans une discipline étroitement liée
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and membrane protein complexes • Familiarity with Linux, MATLAB, Python, or other computational tools is a plus This position provides an excellent opportunity to work on high-resolution structural
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. Advanced programming skills, particularly in Python. Experience with computational approaches to protein folding welcome. Familiarity with molecular dynamics simulation tools such as GROMACS welcome. A solid
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written communication skills, be strongly motivated, and work well independently as well as in a team setting. Experience with computer programming is a plus (MATLAB, Python, and/or E-Prime). Special
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neurofeedback would be an asset. • Proficiency in data analysis tools (Python, MATLAB, neuroimaging software). • Familiarity with human experimental protocols and clinical best practices. • Knowledge of ethical
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information * Applied mathematics, computational physics, or computer science - Strong programming skills (e.g., Python, PyTorch, TensorFlow) - Experience in one or more of the following areas: * Generative AI