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research in the areas of condensed matter physics, nanotechnology, photonics, and theoretical and computational physics. We announce a PhD position for a project focusing on simulation and artificial
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Informatics together with TAIGA – Centre for Transdisciplinary AI is recruiting a PhD student
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network that integrates omic, genotypic, and clinical datasets. You will spend most of your time on computational tasks, developing and applying methods for handling, quality control, and analysis
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our research, focusing on new methods to valorize aquatic biomass to support ecosystem-friendly resource use. Our research is conducted in close collaboration with national and international
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their university education in: Mathematics, especially differential equations. Numerical methods and/or computer programming. Cloud physicsIt will be advantageous if the applicant is experienced with modeling
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methods) and mineralogical characterization, as well as numerical skills. You must have good knowledge of English, both spoken and written. Swedish language proficiency is seen as a strong merit. For
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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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Dec 2025 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number P 2025/2721 Is the Job
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) scientific studies Experience with relevant field data collection methods (e.g. chamber- or eddy covariance-based C flux measurements, biodiversity sampling methods) Computer programming skills (e.g. Matlab, R
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes