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Join Dr. Marcel van den Brink’s multidisciplinary team to explore innovative ways to decipher the molecular mechanisms by which the microbiome contributes to the biology of bone marrow transplantation. We are looking for a highly motivated candidate with a PhD degree interested in using...
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Join the forefront of groundbreaking research at City of Hope where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to...
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Stig Brøndbo 15th August 2025 Languages English English English Faculty of Science and Technology Postdoctoral Research Fellow in artificial intelligence for low-resource language cognitive tests
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: 272540326 Position: AI Postdoctoral Research Fellows - Princeton Language and Intelligence Description: Princeton University is seeking to hire AI Postdoctoral Research Fellows to join the Princeton Language
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Job Description Job Alerts Link Apply now Job Title: Research Associate/Fellow (Programme Manager) Posting Start Date: 17/07/2025 Job Description: Job Description An exciting opportunity has arisen
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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English, both oral and written. Applicants from non-English speaking countries must document their English proficiency in accordance with the Supplementary Regulations for Admission to the PhD Programme at
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Hint Due to serious budgetary cuts there will be no further calls for the German Chancellor Fellowship Programme. • The fellowships granted to the current cohort of Federal Chancellor Fellows 2023
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development of a newepilepsy research project jointly run by King’s College London and Swansea University and funded by the Medical Research Council. The Research Fellow will be using Natural Language
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of