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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our
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Researcher (R2) Positions Postdoc Positions Application Deadline 1 Nov 2026 - 01:00 (Europe/Luxembourg) Country Luxembourg Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date
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and as postdoc you would help us tackle core challenges of the project, in particular: Understanding fundamentals of eye movements and their implications for multimodal interaction Design of spatial
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. This 4-5-year project is supported by an NIH R56, the HNC SPORE, and other research funding. The postdoc will investigate the spatial and functional relationships between intratumoral bacteria and immune
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postdoctoral 50 Faculty of Life Sciences Startdate: 01.11.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.10.2029 Reference no.: 6186 A three year
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, including scRNA-seq, spatial transcriptomics, methylation profiling and integration of molecular data. Experience in translational biomarkers, target-engagement studies (PD), analysis of human biological
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functionality, from chemical reactions in catalysis to interfaces in nanoelectronic devices. Yet, observing surfaces at high spatial resolution while they operate remains challenging. BEAMSurf will develop a new
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postdoctoral 50 Faculty of Life Sciences Job vacancy starting: 01.11.2026 | Working hours: 40.00 | Classification CBA: §48 VwGr. B1 lit. b (postdoc) Limited contract until: 31.10.2029 Job ID: 6186 A three
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 26 days ago
/neuroendocrine research Experience with immunohistochemistry, RNAscope/in situ hybridization, metabolic phenotyping, or spatial molecular approaches Experience with single-cell/single-nucleus genomics and/or
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model validation. Strong Python skills, experience with deep learning frameworks such as PyTorch, and tools for processing complex and/or spatial data. Initial experience in teaching, workshop