94 computer-science-programming-languages-"St"-"ST"-"St" positions at Nature Careers in France
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This is a unique opportunity for an outstanding scientist to develop an innovative research program at the interface of biology, applied mathematics and/or physics, within one of the five DYNABIO-affiliated
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access to the unobserved values, and therefore, cannot compute this error. The goal of this postdoc will be to develop a direct method, based on self- supervised learning. The closest related works are two
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in psychological and cognitive science issues and ambition to advance one of the aforementioned subject areas Fluency in English and French is required; good command of Luxembourgish and / or German is
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publications, conferences, and public-facing digital platforms Contribute to the research project's open science and reproducibility efforts through documentation, GitHub repositories, and notebooks For further
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independent research group in Immunology. The successful candidate will be expected to develop a bold, innovative, and high-impact research program that complements and enhances INEM’s scientific strengths
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to target the mechanistic alterations at the basis of resistance to current therapeutic options. The research program will favor translational approach and the experimental design will benefit from
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We are seeking a highly motivated postdoctoral researcher with the following qualifications: • PhD in Mathematics, Computer Science, or a related field. • Solid background in optimization and/or
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techniques, as confocal microscopes, are widely used in biology for cellular and sub-cellular structures investigation. However, their spatial resolution is limited by the light diffraction phenomena and it is
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In cancer as well as chronic infections, T cells are exposed to persistent antigens and acquire a dysfunctional gene expression program which includes high expression of the inhibitory receptor
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within a coherent computational model is currently challenging, due to the typical large dimension and complexity of biomedical data, and the relative low sample size available in typical clinical studies