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Field
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in the design and development of the detector upgrade. The LPC is also a major hub for Machine Learning and AI developments for particle physics. There is close and frequent collaboration with
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student and postdoc who will carry out experimental work, which will allow for validation of the models. You will collaborate with experts from TU Delft, TNO and several large and SME companies involved in
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chemistry and study the physicochemical properties of peptides loaded into the materials. Build surrogate models and apply machine learning techniques to extract design rules and rapidly screen thousands
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applications based on the following skillsets. If you do not fullfil all requirements, please still apply (there is room for learning-on-the-job). An engineering degree, preferably, aerospace or mechanical
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nutrition, such as: analysis of time series data and dynamic processes, where signals and responses evolve over time. statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and
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postdoc. For this position, we are looking for a PhD candidate eager to deal with the understanding of the diverse values of nature (including biodiversity and ecosystem services) across stakeholders, and
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or more stays at the collaborating partners in Gothenburg of a few weeks to a few months, and close collaboration with both UCPH-based and visiting PhD students and postdocs. Our group and research – and
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(based on fulltime) and extra holidays between Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; multiple courses on topics such as leadership for academic staff
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Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 4 Aug 2026 - 23:26 (Europe/Prague) Country Czech Republic Type of Contract To be defined Job Status Part-time
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Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of the Leiden Institute