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and the professor must be able to use Swedish as their working language within four years of beginning the position. The department will provide support with language learning. Eligibility The applicant
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of AI and machine learning methods for advanced modelling and analysis of energy and industrial processes Experience with high-temperature processes, particularly in metal and mineral processing
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research and teaching. The position includes the opportunity to undertake five weeks of training in teaching and learning in higher education. For this position, we are specifically seeking expertise in
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great advantage: Forest and wood production processes Wood construction Furniture manufacturing Wood material science Machine learning Process simulation and optimisation The postdoctoral fellow is part
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PhD Thesis based on ABIS. The main areas have so far been studies on the development of Type 1 diabetes, but also studies on celiac disease, JIA, IBD, autism, obesity, allergy and recently also
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methods further, we are looking for a postdoc with a keen interest in biotechnology and protein biochemistry. About the position You will be part of an excellent team of several PhD students, PostDocs, and
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solutions with real-world impact. Major responsibilities Conduct independent research and collaborate with others in the research group. Supervise Master's and/or PhD students (no teaching included
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Assistant Professor in artificial intelligence (AI) with a focus on precision medicine (PA2025/1776)
possibility for promotion to permanent employment as a senior lecturer. You will receive five weeks of training in teaching and learning in higher education and also get the opportunity to learn Swedish through
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receive five weeks of training in teaching and learning in higher education and also get the opportunity to learn Swedish through the University’s Swedish language courses for new international staff. We
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period of 5 years and can then be promoted to permanent employment as a senior lecturer and eventually professor. You will receive five weeks of training in teaching and learning in higher education and