436 computer-programmer-"https:"-"FEMTO-ST"-"Inserm" "https:" "https:" "https:" positions at Nature Careers
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the framework of the MaReCuM model study program, the W3 professorship for Transfusion Medicine and Immunology is expected to participate in teaching in accordance with the regulations for W3 professorships in
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science. The program complements the MICROSTAR initiative, forming the HUMAN–MICROSTAR Alliance — a unified framework bridging host- and microbe-focused infection biology. More details: https
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academic and industrial partners, a worldwide recognized permanent staff of senior researchers, and a strong administrative support staff. Candidates, whose research program is well aligned with the scope
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Professor level or above will also be considered for candidates with exceptional records of research excellence and academic leadership. In addition to pursuing a vibrant research program, an appointee will
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approaches to biological systems. Candidates will complement this research with their research programme in theoretical biophysics – at scales from molecules to cells to organisms – or related areas, including
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of Dr William Schafer at the MRC Laboratory of Molecular Biology (LMB), Cambridge, to work within a programme aimed at mapping and analysing the structure of the hatchling octopus brain connectome
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records of research excellence and academic leadership. In addition to pursuing a vibrant research program an appointee will be expected to engage in effective teaching at the undergraduate and graduate
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considered for candidates with exceptional records of research excellence and academic leadership. In addition to pursuing a vibrant research program, an appointee will be expected to engage in effective
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framework bridging host- and microbe-focused infection biology. More details: https://www.helmholtz-hzi.de/en/research/research-program/human-microstar/
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https