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-borne viruses such as Bourbon and Heartland virus. The team combines molecular tools, next-generation sequencing, mRNA vaccines, and animal models, and pioneers the use of barcoded viruses to measure and
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datasets into scalable, standardized, and AI-ready frameworks for computational modelling. Working in SciLifeLab’s highly interdisciplinary environment, where imaging, molecular data, and computational
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on endocrine and neuroendocrine tumours, integrating preclinical models, molecular profiling and translational approaches to identify novel therapeutic vulnerabilities and biomarkers associated with treatment
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
models, and a broad range of cellular and molecular immunological techniques. Projects are available in both basic and translational areas of T1D research. For instance, we have studies investigating
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research Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Positions Postdoc Positions Application Deadline 1 Sep 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract
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Posted on Tue, 08/04/2026 - 13:24 Important Info Faculty Sponsor First name: Ruth Faculty Sponsor Last Name: Huttenhain Stanford Departments and Centers: Molecular and Cellular Physiology Postdoc
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microbial ecology can be used to inform sustainable management practices that increase soil carbon stocks and reduce nitrogen losses. And the main focus of your position will be soil molecular analysis and
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The postdoc project aims at fabricating graphene edge sensors for single molecule detection and biopolymer sequencing. The device architecture will be scalable and tunable by combining unique
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developmental biology, biochemistry, cell and molecular biology, who are interested in studying fundamental principles in tissue development and regeneration. Candidates with training in developmental biology
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, and glial pathways influencing immune function, mechanistic dissection remains constrained by fragmented models and low-throughput readouts. Existing approaches rarely allow systematic, causal