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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 11 hours ago
Posting Description RESEARCH SCIENTIST 3, The Zhang Lab - Broad Institute of MIT and Harvard, with expertise in proteomics and peptidomes. This individual will develop and optimize quantitative and
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Location: Central Cambridge We are seeking applications for a PhD position in AI in proteomics as part of the Horizon Europe MSCA Doctoral Network, ProtAIomics. This brings together laboratories
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 4 days ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Candidate (f/m/x) - Organelle Biology and Proteomics in
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/ bioinformatician with a strong interest in quantitative biology and mass spectrometry-based proteomics to develop new approaches for extracting biological information from complex mass spectrometry datasets. You
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Professor in Biomarker Discovery and Clinical Proteomics in the Department of Medicine, School of Clinical Medicine (Ref.:537311) We now invite applications for the captioned post. Duties and Responsibilities
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We are seeking a highly motivated and enthusiastic Postdoctoral Research Associate with an interest in human plasma proteomics to join a pioneering project exploring the links between genetics and
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, demonstrable experience in mass spectrometry-based proteomic analysis or in RNA sequencing, as well as a background in immunology and biochemistry; - Experience in quantitative proteomics data analysis and de
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position within a Research Infrastructure? No Offer Description Activities and context The successful candidate will join a multidisciplinary project spanning immunology, oncology, proteomics, genomics
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of Medical Sciences We are seeking a highly motivated and enthusiastic Postdoctoral Research Associate with an interest in human plasma proteomics to join a pioneering project exploring the links between
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degraded biological material. Our research combines molecular biology, genomics, proteomics and bioinformatics to investigate biological information preserved in challenging and highly degraded samples. We