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implementation science, and leveraging computational innovation, the lab examines these relationships across exposures, tissue types, life stages, and populations to identify opportunities for prevention and early
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Deadline 29 Sep 2026 - 15:00 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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in collaboration with local and international partners. The Postdoctoral Associate will design, execute, and interpret computational analyses for large-scale genomic, transcriptomic, and epigenomic
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studies focus on the interaction between tumor-intrinsic signaling and the immune microenvironment during adenoma-to-carcinoma progression. A major translational component of the program evaluates
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21 Aug 2026 Job Information Organisation/Company Ulm University Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 15 Sep 2026 - 23:00 (UTC) Country
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
18 months, Fixed-Term, Whole-Time Post This 18-month Postdoctoral or Senior Postdoctoral Computational Biologist for an ovarian cancer research project in the School of Biochemistry and Cell Biology
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
18 months, Fixed-Term, Whole-Time Post This 18-month Postdoctoral or Senior Postdoctoral Computational Biologist for an ovarian cancer research project in the School of Biochemistry and Cell Biology
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- 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Responsibilities Participate in research program of PID modelling using stem cell platforms conducted in the Division of Rheumatology & Clinical Immunology. Supervise junior research staff and postgraduate students
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statistical and machine learning, deep learning, chemometrics, multimodal data fusion, computer vision, uncertainty-aware modeling, stochastic control, optimization, and deployable edge-to-cloud decision