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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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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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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 6 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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Within the Proteomics Core Resource at Amsterdam UMC, location VUmc, we are looking for a PhD candidate to join the recently funded NWA-ORC project META-IMMUNOTYPES – Decoding immune-metabolic
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therapeutic approaches. Advances in proteomic, genomic and transcriptomic technologies offer powerful opportunities to address these challenges. This fully funded studentship forms part of the LifeArc Centre
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- Mass Spectrometry and Proteomics Department: ERIK | Campus Chemical Instrument Center MS and P Facility Position Overview This position will serve as a Researcher for the shared Campus Chemical
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-disciplinary team and will be trained in biochemistry, molecular biology, proteomics, genomics (ChIP-seq, RNA-seq, ATAC-seq etc) in cell and primary disease models. This PhD role will also be embedded in a
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 12 days ago
diseases. Our group investigates how cells sense stress, mount adaptive responses, and restore homeostasis to maintain cellular resilience. We combine human cellular models with transcriptomic and proteomic
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dietary restriction. The project will integrate genetic, transcriptomic, proteomic, metabolomic, and gut microbiome data, with clinical and lifestyle information, to identify biological determinants
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variation as an anchor for causal inference across molecular layers (genomics, transcriptomics, proteomics, and metabolomics), enabling more principled identification of disease-relevant proteins and pathways