418 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" uni jobs in Sweden
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, for that reason we are looking for someone who has: Documented research experience in the design of therapeutic antibody modalities Documented research experience in AI/machine learning/deep learning Documented
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image analysis and sensor technologies (e.g. RGB/NIR) for textile production, as well as using machine learning for process optimisation and performance prediction from fibre to finished product
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10 Apr 2026 Job Information Organisation/Company Lunds universitet Department Lund University Research Field Psychological sciences » Cognitive science Educational sciences » Learning studies
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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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. Read more about working at Chalmers and our employee benefits . Learn more about life in Gothenburg and Sweden’s family-friendly policies, including generous parental leave, subsidized childcare, free
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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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are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace The research group for associative learning conducts research in neurophysiology and
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Chalmers and Volvo Car Corporation. Who we are looking forThe following requirements are mandatory: a Master's degree (masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits* in
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fields, where negative ions are the common denominator. In this vacancy the remaining position will be announced. Students enrolled in the program will acquire a comprehensive skillset that is relevant
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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