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7- Nivel Meces 3) LanguagesSPANISHLevelMother Tongue LanguagesENGLISHLevelBasic Research FieldMedical sciences » MedicineYears of Research Experience1 - 4 Additional Information Eligibility criteria
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6(1)(c) and (a) and Article 9(2)(a) of the Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing
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Language Models (LLMs) Computer Vision and Multimodal Intelligence Natural Language Processing Machine Learning Theory and Algorithms Reinforcement Learning and Decision Intelligence Generative AI and
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Postdoc for the study of age-dependent colorectal cancer metastasis 100% Department for BioMedical Research, https://www.dbmr.unibe.ch/, UVCM, Gastroenterology Start of employment: 01.03.2026 or as
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record in one of the following AI specialisms Natural Language Processing and Large Language Models, Distributed and Collective Artificial Intelligence, Reinforcement Learning and Multi-agent Reinforcement
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research methodology and data analyses –a condition experience in the research at least 3 years a condition Language skills knowledge of English language at C1 level excellent knowledge of the Czech language
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partners and/or other research units at Aarhus University would be beneficial. Qualifications A successful candidate will hold a PhD degree in a relevant natural science discipline, be in strong
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Research Associate Development & application of wire-mesh sensors for thermohydraulic test facilitie
, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity and transfer
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requirements English at C1 level Application deadline The application deadline for admission to the winter semester is the end of February each year. The exact dates can be found on our website: https
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snow removal, and emergencies affecting the campus. • Responsible for physical plant budget, including: o Evaluating and ensuring the efficient operation of the department, managing operational expenses