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how non-adaptive evolutionary processes influence the strength of urban-rural clines in squirrel melanism across more than three dozen cities. The postdoc will use camera trap and citizen science
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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
. The institutes consist of six scientific departments and several research groups with approximately 350 employees and scientific guests who work together in an international community and are supported
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prioritizing safety in the workplace, especially in the laboratory. Writing initial drafts of manuscripts for publication and presenting research results at scientific meetings. Additional Information: Annual
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Institute at the University of Galway, Ireland. This position is funded by PEACEPLUS PROGRAMME (Special EU Programmes Body) innovation challenge (www.seupb.eu/peaceplus) on the Technological Revolution
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Science and Therapeutics Division and is a member of the Immunotherapy Integrated Research Center (IIRC). Their primary focus is on developing unique and first-in-class therapeutic drugs for cancer
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plan your own scientific work with appropriate supervision You will appropriately process and store clinicalsamples You will be proactive in liaising with clinical and nursing colleagues
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Department of Science, Innovation and Technology, with a mission to equip governments with a scientific understanding of the risks posed by advanced AI. The WearAI project is investigating the societal
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, political, and cultural processes. IAS hosts the international master's programme in Computational Social Science and has strong connections with the international master's programme in Statistics and Machine
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do
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Demonstrated experience with LS-DYNA or comparable commercial FEA software Proficiency in Python programming for scientific computing and machine learning applications Experience with machine learning methods