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master in Computer Science, Bioinformatics or related field Strong programming skills in R Background in machine learning and/or protein structures Fluent in English Specific Requirements Mobility rule
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be favorably considered. If you are a non-Swedish speaker, we expect you to try to learn Swedish when you start your position (SLU arranges Swedish courses). Emphasis will be placed on personal
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, mathematics, biology, and epidemiology, developing and applying novel statistical methods and deep learning approaches for global health challenges. The group’s research spans disease modelling, genomic
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production. By developing hybrid architectures combining ontologies, generative models, reinforcement learning, and uncertainty quantification, the PhD project addresses the challenges identified by ICCARE in
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-Physical Energy Systems The PhD position focuses on the development of secure and trustworthy AI for resource-constrained embedded systems. The research will investigate how machine learning models can be
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PhD candidate you will develop new ways to extract cosmic-ray physics from KM3NeT data. You will design and characterise reconstruction methods—both machine-learning-based and traditional
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. We are seeking passionate individuals who are committed to making a meaningful impact through collaboration, innovation, and excellence. To learn more about our mission and work, please visit https
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results in scientific journals You contribute about 10% of your time to teaching and supervising in bachelor and master programs Where to apply Website https://www.academictransfer.com/en/jobs/362571/phd
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appropriate research questions and acquire the required skills. We aim to create a collaborative environment in order to promote both the research and the selected candidate’s academic development. The position
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econometrics, statistics and quantitative analysis experience with at least one statistical programming language, such as Stata, R or Python, and an openness to learning additional tools the ability