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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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PhD students and postdocs associates from Computing, Mathematics and Medicine in interdisciplinary settings with interactions with real stakeholders such as clinicians and patients. What we are looking
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/Postdoc in a related electronics area) or industrial (practicing hardware/embedded electronic engineer) background. The key is having good hands-on experience in electronics design and implementation, and
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candidates whose work lies at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex data
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50 Faculty of Life Sciences Startdate: 18.08.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 17.08.2029 Reference no.: 4247 Explore and teach
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to adapt to an evolving environment and to work in teams, both as the leader or as a member In addition, it would be desirable if you had: Experience with design and development of distributed computing
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, life-course analysis, and complexity economics. CeMPA’s research is critical to understanding the social distribution of life chances, through the analysis of the mechanisms that explain the entrenchment
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We are seeking an enthusiastic and dedicated postdoc to work on our NERC funded project, ‘Genetic architecture of brain evolution during ecological divergence’. This NERC project aims to to reveal
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Dr Heli Hietala. The postdoc project involves primarily simulations informed by observations, related data analysis and theory/models, comparing various aspects of shock particle acceleration and meso
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About the Role This is an opportunity to work as part of the team and project “Accelerating charged particles in space” funded by a Royal Society URF led by Dr Heli Hietala. The postdoc project