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The Department of Animal and Veterinary Sciences calls for applications for a 4-year position as a postdoctoral researcher in processing and development of new sustainable feed sources. The position
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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statistical modelling (e.g., hierarchical regression models, integral/matrix population models) and programming (e.g., R). Demonstrated ability to work independently, exercise critical thinking, and proactively
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chemical–biological pathway. The advertised positions will support these efforts through research on advanced carbon capture methods, process modelling and optimization, and biological CO2 valorization in
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to nanoseconds) to obtain novel insights into the fundamental physics and chemistry of processes in materials. You will work with ultrafast X-ray experiments using synchrotrons and XFELs, with a focus on charge
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formation and changes occurring during processing and digestion. The starting date is November 1, 2025, or as soon as possible hereafter. The research project This post-doctoral position is part of the EU
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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
The Section for Software Engineering and Computing Systems, at the Department of Electrical and Computer Engineering (ECE), invites applicants for a two-year postdoctoral position within the area of
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processes, their regulation and their significance for cell function, interaction and organisation in tissues. The Department offers comprehensive undergraduate and graduate teaching programs spanning cell
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applicants regardless of their personal background. Qualifications and the selection process Applicants for this position must hold a PhD degree (or equivalent level of education) in bioinformatics, data
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
Sensing, Geoinformatics, or similar. We are searching for a highly motivated candidate who has: Knowledge of carbon cycling and dynamics in wetlands Knowledge and experience with working with process-based