12 parallel-processing-bioinformatics Postdoctoral research jobs at University of Copenhagen in Denmark
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of bioinformatics, artificial intelligence, and systems biology, with a focus on single-cell genomics and other omics layers to understand early deviations in cardiometabolic diseases. Candidates should have a strong
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Human Centred Computing Section invites applicants for a 2-year Post Doctoral Fellowship in Computer Supported Cooperative Work (CSCW) in the NeuroGen Computing research project focusing on creating
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will join a vibrant group of interdisciplinary scientists in eg bioinformatics, cell biology, physiology and genomics. Project focus The postdoctoral researcher will lead experimental and/or
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physiology models of organs. You will join a vibrant group of interdisciplinary scientists in eg bioinformatics, cell biology, gene editing and material science. Qualifications Applicants should hold (or be
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Applicants should hold (or be close to completing) a PhD in biology, bioinformatics, genomics, or molecular physiology. We particularly welcome candidates with: Expertise in experimental genomics, cell biology
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phosphorylation, and allosteric regulation of signaling proteins and metabolic enzymes contribute to energy regulation. We also investigate how dysregulation in these processes drive the pathogenesis
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supplements on an annual basis. The recruitment process Further information on the recruitment process at University of Copenhagen can be found here: https://employment.ku.dk/faculty/recruitment-process/ As an
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Jonathan Coquet Jonathan.coquet@sund.ku.dk; www.sund.ku.dk Foreign applicants may find this link useful: www.ism.ku.dk (International Staff Mobility). Application procedure Your online application must be
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PhD degree and have not lived in Denmark the last 10 years. The position is covered by the Job Structure for Academic Staff at Universities 2020. Application procedure A motivation letter (max. one page
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included in the motivation letter (see ‘Application and Assessment Procedure’ below). Proposals should preferably fall within the scope of the work package ‘Human variables and the promise of robust