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Employment 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Nijmegen School of Management Application deadline 22 February 2026 Apply now Join Radboud
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to apply Website https://www.academictransfer.com/en/jobs/359291/postdoc-in-machine-learning-and… Requirements Specific Requirements We will base our selection on the following components: a PhD degree in an
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, so creativity and initiative are essential. There might be opportunity for travel, so the candidate should be willing to travel. You also possess: A completed PhD in public health, public policy
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they learn, PRL134, 147402 (2025). Qualifications We seek candidates with: A PhD in physics, applied mathematics, materials science, mechanical engineering, computer science, or a related field. Strong
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the industry partner involved in the project Contributing to grant deliverables, presentations, and reporting Write high quality scientific manuscripts Contribute to our education program Train BSc, MSc and PhD
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to collaborate effectively with colleagues and project partners. Specifically, you have: Education: A PhD in a relevant field, with knowledge of structural mechanics, masonry mechanics, nonlinear finite element
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challenges and thrives in a collaborative environment. In addition, you bring the following qualifications: a PhD-degree in chemistry, biochemistry, molecular biology, biotechnology or related discipline
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-relevant research environment. You have: A PhD (or a nearly completed PhD) in strategy, economics, innovation studies, political economy, public policy or a closely related field. Demonstrated experience
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awareness. We welcome applications from recent PhD graduates in relevant areas, such as artificial intelligence and natural language processing. An ideal candidate will have a strong technical background in
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with binding. You will work closely with three PhD students who develop the microbubbles and tune their molecular targeting and viscoelastic shell properties. You will have substantial freedom to develop