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antibody discovery Good knowledge of single-cell RNAseq workflows such as 10X genomics or DropSeq, experienced in flow cytometry Good knowledge in cell biology and biochemistry Prior experience in
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to advance knowledge in the following domains: Formal verification and interactive theorem proving (Rocq, Lean) Secure and high-performance computer systems, including ML infrastructure We seek outstanding
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with help from a bioinformatics facility Your profile Hands-on experience in cell biology and NGS Good knowledge in T-cell expansion and therapy Motivated in driving tech development Prior experience in
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experience AI-assisted theorem proving or algorithm discovery is an asset You have working knowledge of numerical analysis, ideally numerical methods for PDEs You are independent and comfortable with open
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, GDAL) and spatial databases. Knowledge of urban heat island analysis and/or flood risk modelling is a major asset. Experience in the development or the coordination of a web-based geospatial platform is
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part of a collaborative team to plan and execute experiments Maintain knowledge of published developments in research field and recommend alternative strategies Plan and organize workload to meet project
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, such as COMSOL or related opensource or commercial packages, would be considered an asset. Excellent written and spoken English is required. Knowledge of French is not necessary We offer A stimulating and
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well as experience handling large datasets Independent, creative, and solution-oriented Good interpersonal skills, team player Good knowledge of English (written and spoken) We offer A dynamic and interdisciplinary
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: A doctorate in a Machine-Learning related field A deep knowledge of Control Theory, both classical and deep learning based A solid publication record in top level ML venues such as NeurIPs, ICML, and
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handling large datasets Independent, creative, and solution-oriented Good interpersonal skills, team player Good knowledge of English (written and spoken) We offer A dynamic and interdisciplinary research