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of algorithms, machine learning, optimization, scientific software development and high-performance computing. The division is also an important part of the eSSENCE strategic collaboration on e-science and of
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machine learning for the next generation of AI models – uncertainty-aware foundation models, generative models and world models – with the support of competent and friendly colleagues in an international
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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
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Research Infrastructure? No Offer Description Description of the workplace You will be part of the dairy group at the Division of Food and Pharma, in close collaboration with the membrane group
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experimental studies, mechanistic modelling, time-resolved data analysis, and machine learning to develop and validate predictive models linking process signals to reaction behaviour, progressing from controlled
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You will be part of the dairy group at the Division of Food and Pharma, in close collaboration with the membrane group at the Division of Chemical Engineering. The dairy group conducts research and
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. The postdoctoral researcher(s) will join an international research environment at Umeå University, including Stat4Reg (www.stat4reg.se ), which develops statistical and machine-learning methods for register data
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machine-learning methods using experimental data provided by collaborating experimentalists. A central part of the work will be to identify and define the most relevant parameters governing material growth
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activities within the group, leading collaborative tasks in national and international research projects, publishing results in leading journals and conferences, and supervising MSc students and co-supervising
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-cell lymphomas. The research group conducts experimental and translational studies using clinically well-characterized patient material in close collaboration with clinical researchers. The research aims