320 verification-computer-science-"Multiple" Postdoctoral positions at Nature Careers
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to fulfil their personal and professional ambitions · Gender-friendly environment with multiple actions to attract, develop and retain women in science · 32 days’ paid annual leave, 11 public
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their personal and professional ambitions Gender-friendly environment with multiple actions to attract, develop and retain women in science 32 days’ paid annual leave, 11 public holidays, 13-month salary
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Technology (SIPT) Unit. At the SIPT Unit, we are committed to advancing the frontiers of science and technology through the development of innovative instruments and methodologies across multiple domains
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health at the highest level. In the science ranking (LOMV) and in the economic result, the UKB is number 1 of the university hospitals in NRW and in 2021 had the third highest case mix index
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will investigate the epigenetic regulation of HSV latency and reactivation. Multiple projects are available, based on strong preliminary data, and are funded by NIH grants. The projects will inform
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work environment empowering our people to fulfil their personal and professional ambitions · Gender-friendly environment with multiple actions to attract, develop and retain women in science
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to fulfil their personal and professional ambitions · Gender-friendly environment with multiple actions to attract, develop and retain women in science · 32 days’ paid annual leave, 11 public
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for artificial intelligence in life sciences, we benefit from high-throughput computing infrastructure to support advanced data analysis and integration. Profile We are looking for a motivated postdoctoral
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Two year postdoc position at Aarhus University for single molecule FRET based investigations of l...
molecules. The project is based in the team of professor Gregers Rom Andersen at the department of Molecular Biology and Genetics (MBG). Funding for the project is secured by a major grant from the Novo
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degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high