380 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs in Sweden
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% Department Department of Computing Science Show description The Department of Computing Science at Umeå University is looking for a doctoral student in machine learning for software security. The position is
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veterinary nurses, ensure that the flow through the surgery department is efficient and safe for the patients, supervise and teach students as well as residents and junior veterinarians. You aim to get
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their working language within four years of beginning the position. The department will provide support with language learning. Eligibility The applicant must: be licensed to practise veterinary medicine
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measurements with fluorescence microscopy. It is considered a merit if you have experience in AI-based or machine-learning-based cell and image analysis. It is considered a merit if you have advanced knowledge
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deployments or data collection in real-world environments) Familiarity with current AI technologies (e.g., machine learning, large language models) and an interest in their application to embodied systems. What
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data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. The applicant is expected to develop and apply data-driven and machine learning-based methods
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to collaborate effectively with colleagues across all levels, both within and outside the organisation Are a self-starter with a passion for learning new technologies Take initiative to solve problems Are creative
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these are affected by breeding, physical activity, care, production, stress, environmental factors and disease. Please visit the following homepage for more information on the Department: https://www.slu.se/en/about
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programs for both Swedish and international students. Read more at https://www.biology.lu.se/ . Find more reasons why Lund University and the Faculty of Science are right for you here and here , and learn
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through a model-driven approach, i.e. a combination of simulation- and data-driven methods and tools with data analysis and machine learning as an important part. The work builds on established theories and