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consortium (academia, clinics, and industry). Interdisciplinary skillset: from CRISPR/iPSC gene editing and single-cell transcriptomics to microfluidics, proteomics, and translational validation in human
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and proteomic techniques. Characterise protein–protein and protein-DNA interactions through biochemical assays, (immunoprecipitation, PLA). Identify and characterise substrates of a target protein using
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Research Center for Molecular Medicine (CeMM), ÖAW | Graz 12 Bez Andritz, Steiermark | Austria | 2 months ago
, and interdisciplinary work at the interface of proteomics, structures and machine learning. Track 2: Metabolism, mitochondrial signalling and translational control (Graz) (Cori) This experimental
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 16 hours ago
, chemistry, or a related scientific or technical field. If you are passionate about this intersection of AI and Life Sciences, we encourage you to apply! https://phd.aithyra.at/application-guidelines
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21.05.2026, Academic staff This PhD project, which is part of the Elite Network Bavaria-funded graduate college “The Proteomes that Feed the World” at the TUM School of Life Sciences, focuses
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: Biomedicine and Pharmacology Developmental and Regenerative Biology Genomics, Proteomics and Bioinformatics Metabolism and Physiology Molecular and Cellular Biology Neuroscience Computational Structural Biology
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Department 01502 - Department of Biochemistry City Salt Lake City, UT Track Tenure Track New Position to Begin 6/01/2026 Details The Department of Biochemistry at the University of Utah (https
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of Biochemistry City Salt Lake City, UT Track Tenure Track New Position to Begin 6/01/2027 Details The Department of Biochemistry at the University of Utah (https://medicine.utah.edu/biochemistry ) invites
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extracellular vesicles (EVs) to T cells (groups involved: Clinical Peptidomics, Structural Proteomics and Cancer Immunology) 3). Development of the strategies preventing T cell reprogramming by cancer derived EVs
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will analyse genome-wide genotype data from over 2,800 individuals alongside proteomic, metabolomic and longitudinal clinical data, using state-of-the-art statistical genetics approaches including GWAS