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Field
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excellence; and promoting the financial health of the University. More about FAD: Within and across the University, we aim to be exemplary colleagues, trusted partners, valued advisors, and agents of positive
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motivated, experienced and enthusiastic Research & Development (R&D) Engineer with expertise in ML&AI. The R&D Engineer is expected to work as part of a multi-disciplinary team and contribute
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | about 2 months ago
-powered research agents for bioinformatics and bioengineering (Bock Lab , CeMM/MedUni Vienna) Building on our CellWhisperer method for chat-based exploration of single-cell data (Schaefer 2025 Nature
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contact for all enquiries from prospective students, agents and advisors via email and telephone, and you will play a pivotal role in supporting the admissions process. You will be working with enquirers
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through the development of benchmark datasets, evaluation frameworks, and specialized LLMs and AI agents, and finally (c) designing specialized interactive multimodal multi-lingual natural interfaces
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
data Large language models for patient records and multi-omics Generative AI for therapeutic and molecular design Sensor data integration and analysis AI for clinical trials Fair, robust and trustworthy
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and AI agents, and finally (c) designing specialized interactive multimodal multi-lingual natural interfaces. Qualifications: A master's degree in less than 5 years of research experince in the relevant
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with and complementing programs that involve District-based County Extension Agents, Regional Program Leaders, and other Specialists. Develop research driven Extension programming targeting clientele in
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European Molecular Biology Laboratory (EMBL) | Brandenburg an der Havel, Brandenburg | Germany | about 2 months ago
modelling, foundation models, cross-domain/-modality learning, explainable AI and mechanistic interpretability, representation learning, Bayesian inference, causal inference, active learning, AI-based agents
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of working in an academic environment and multi-disciplinary teams or similar environment. Desirable: F1 Experience of liaising with external design agents /companies. Terms and Conditions Salary will be Grade