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Researcher in Computational Linguistics / Cognitive Science (m/f/d, E13 TV-L, 100%) The position will be filled for a fixed term of three years. Payment is at 100% of pay scale E13. The position is associated
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to advance beyond classical segmentation networks toward multimodal, prompt-based, and foundation-model approaches for clinically deployable medical AI. Your Responsibilities Develop and evaluate novel
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. Our program focuses on understanding hostpathogen interactions across species (mice, chickens, pigs, dogs) using well-established viral (e.g., Marek's disease virus, Theiler virus, Hepatitis E
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Programme? Other EU programme Reference Number S-636 Is the Job related to staff position within a Research Infrastructure? Yes Offer Description European XFEL is an international non-profit company located
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the Protein Design Accelerator within the Technology Hub. The position is temporary until 31.12.2032. About the Position The BioSysteM Cluster of Excellence is an international research network in which
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 3 months ago
Job Code: 01/2026 Job Offer from January 29, 2026 Applications are invited for a postdoctoral research position focused on the development of advanced computational and statistical methods
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, proteomics, computing) close mentoring and support for career development (conference travel, networking, writing) fixed-term position (full-time), initially for 2 years, with anticipated extension depending
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gene regulation and metabolic adaptation Identify and characterize miRNA target genes and regulatory networks using complementary molecular and bioinformatic approaches Integrate epigenetic
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immunotherapy, transplant rejection and autoimmunity. The objective of the LIT is to develop efficient immune therapeutic strategies in these areas. Close networking between University and University Hospital
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“Compartmentalized Cellular Networks in Neurovascular Diseases.” We welcome applications from candidates with expertise in either of two complementary profile tracks: Profile Track 1 – Computational Epigenomics