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in mouse models, cell biology, and molecular biology is preferred. Please send a cover letter describing research interests and accomplishments, CV and the names and addresses of three references
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the research project We are seeking a highly motivated Postdoc to join our group in developing generative surrogate models for molecular dynamics (MD). MD is a foundational technology across the
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epilepsies. They use a range of advanced genomic techniques including single-cell and spatial multiomic evaluation of epilepsy surgical tissue as well as iPSC-derived neural cultures and mouse models
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the interplay between iron homeostasis, ferroptosis, and protein aggregation using advanced cellular and animal models. Where to apply Website https://system.erecruiter.pl/FormTemplates/RecruitmentForm.aspx?WebID
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biology, microbiology, environmental science and environmental engineering as well as disease ecology. The Linnaeus University centre in Ecology and Evolution in Microbial Model Systems (EEMiS) in Kalmar
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 22 days ago
modeling, we aim to uncover RNA programs that drive pediatric health and disease. The project is embedded in the German Center for Child and Adolescent Health (DZKJ) and provides direct access to clinically
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to the subject area. Applicants must have documented research experience in molecular genetic approaches, fluorescence microscopy, mammalian cell culture, and intracellular infection models. Experience in
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» Neurobiology Researcher Profile Established Researcher (R3) Positions Postdoc Positions Application Deadline 19 Apr 2026 - 17:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time
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are interested in the development of new approaches to the simulation of different molecular networks and of different type of cells, with emphasis on genome-scale metabolic models, Boolean regulatory models and
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disease modelling skills to join our team. About the project The ultimate goal of this project is to develop and apply advanced human iPSC-based models to study complex genetic architecture