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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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. The successful candidate will join a collaborative project involving Uppsala University (UU), industrial partners and research institutes, contributing to a highly interdisciplinary effort to establish
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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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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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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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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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, spans the breadth of computing disciplines. Our internationally visible research, strong industry links and diverse environment create a collaborative setting where ideas grow into real impact. At