903 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" positions in Sweden
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applications, including development and validation of machine-learning and statistical models for disease prediction, prognosis, and therapeutic response. Proficient in R, SAS, and other bioinformatic tools
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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model
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trade union organizations, military service, or other similar circumstances, as well as clinical service or other service/assignments relevant to the subject area. About us The Swedish University
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Learning Familiarity with Computer Graphics research We offer Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational
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, R&D Welfare Varmland, NUSO and ESN: https://www.kau.se/en/social-work https://www.kau.se/fou-valfard-varmland (in Swedish) https://nuso.se/ (in Swedish) https://www.esn-eu.org/ Duties As a doctoral
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vision. Understanding or willingness to learn advanced statistical modeling is a plus Assessment criteria and other qualifications: This is a career development position primarily focused on research
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the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https://www.naiss.se , https://eurohpc-ju.europa.eu/ai-factories_en The position As AI Training Program Officer, you
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on https://www.slu.se/om-slu/jobba-pa-slu/ Read more about third-cycle courses and study programmes on www.slu.se/utbildning/program-kurser/forskarutbildning/. Form of employment / Funding Employment as a
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following areas: AI and machine learning, natural language processing, large language models (LLM), experience in designing prompts, fine-tuning LLMs, or distributed systems. Good knowledge in one or more of
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supervise PhD students. The rest of your time (40%) is devoted to teaching. The department has developed several courses within data science, e.g., Bayesian methods, Advanced Machine Learning, Deep Learning