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Make a difference with your research. Join us to build advanced population models based on the field observations. You’ll collect and analyse data on conservation options - predator management
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The Faculteit Geneeskunde en Farmacie, Department Observerende Klinische wetenschappen, Research Group Electronics and Informatics: Research – Development - Innovation is looking for a PhD-student
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 6 days ago
28 Oct 2025 Job Information Organisation/Company Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID Department DRH Research Field Engineering » Computer
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quality, diversity, and biological relevance using standard metrics and expert review. Anonymised digital images from tissues in biobanks will be used to train generative models on university computing
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Deadline 22 Oct 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 15 Dec 2025 Is the job funded through the EU Research Framework Programme? Not funded
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Chemistry. The thesis project will focus on computational models for assessing exposure of organic pollutants in zebrafish. The position is for four years of doctoral studies, including participation in
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through the EU Research Framework Programme? Horizon Europe – COFUND Is the Job related to staff position within a Research Infrastructure? No Offer Description The EM2C laboratory is a CNRS research unit
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of the ERIM Business Processes, Logistics, and Information Systems (LIS), Supply Chain Management (SCM) section doctoral program is to be at the forefront of developments in its domain. We are committed
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engineered 3D hydrogels, we will experimentally probe the mechanical forces and physical constraints that drive coordinated cell behavior. In parallel, we will develop and apply computational models and
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specifically, the computational team will build on our previous work (PMID: 38951512) to establish and train deep neuronal network models on large existing dataset with multi-omic data. Subsequently