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, computer science or signal processing. Funding Notes This is a self-funded research project. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees
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will be able to access and complete the application through “My Draft Applications” located on your Candidate Home page. Closing Date: 04/20/2026 Type of Position: Professional Staff - Project/Program
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, onsite Associate Head or Assistant Coach Women's Soccer for the Athletic department. This position assists in the development of a competitive NCAA Division 1 Women’s Soccer Program. The salary range
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Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The CLLE
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sequence-function landscapes, using a combination of empirical data and ML methods (e.g. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 13 days ago
funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD project is part of
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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
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the EU Research Framework Programme? Horizon Europe - MSCA Reference Number BI/ Nº2026/00024 - SOVEREIGN Marie Curie Grant Agreement Number 101131481 Is the Job related to staff position within a Research
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The Department of Medical Biosciences is offering a postdoctoral scholarship within the project “Developing computational tools for large-scale human intracellular signaling models”. The scholarship
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for the Research Scientist level is $120,000 - $250,000 depending on experience. Why Join Us? Collaborate with a world-class, interdisciplinary team Access state-of-the-art compute capabilities for large-model