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and programming languages e.g. Linux, Python, R. Excellent interpersonal and communication skills and ability to work with colleagues at all levels. Desirable Criteria Experience in multi-omics
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of different natures (gradient-based optimization, sampling-based methods, and learned policies) within a single coordination scheme. This involves assigning each subproblem to the most suitable approach and
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, and Den Otter, Weindel, Stuit, Van Maanen, Plos Computational Biology, 2026 for more information about these methods. The goal of the project is to be able to track differences in strategy use between
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scientific applications. The CGR lab conducts research at the cutting edge of computational biology and bioinformatics. We aim to understand human genome variation and evolution across different genomic
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MRI data processing and analysis. Knowledge of cardiovascular physiology. Experience programming in MATLAB and Python. Experience in systems biology, mathematical modelling, and digital twins
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, for example using Python or comparable tools, and experience with GIS-based spatial analysis. The ability to work with heterogeneous geological, hydrogeological and monitoring datasets and to connect
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equivalent practical experience. • Strong Python, SQL programming skills, GitHub, and experience with ML frameworks (PyTorch, TensorFlow, etc). • Full stack software development, experience with JavaScript
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; experience with foundational AI model development/fine-tuning and machine learning and/or deep learning; strong programming skills (e.g., Python, JavaScript, PostgreSQL) with clear expertise in front-end and
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Scientific assistant - Research assistant 1 Mission The Hummel Lab at the École Polytechnique
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and ambiguity function processing Familiarity with time-, frequency-, and amplitude/phase-difference of arrival for geolocation Understanding of adaptive signal processing methods and techniques (Kalman