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materials, and nature-inspired design. Job requirements You hold a PhD in Civil Engineering, Materials Science, Mechanical Engineering, or a closely related engineering discipline, with a proven track record
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Welcome to Maastricht University! You just finished your PhD trajectory and looking for the next step in your academic career? Your interests lie in the field of machine learning techniques
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Welcome to Maastricht University! You just finished your PhD trajectory and looking for the next step in
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digitized archives of early modern public-private colonial companies, including for example the Dutch East India Company (VOC) and the English East India Company (EIC). This postdoctoral project asks how
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of Physical AI — and they cut across domains that look different on the surface but share the same scientific core: a robot rehearsing a manipulation task in a digital twin, and a biomedical model simulating
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. The details of the work plan may be adjusted depending on the profile of the preferred candidate; there is budget for support in technology development. You will work closely with a PhD researcher at the German
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fit to this project; An academic transcript of BSc, MSc and PhD education, including grades; Full Curriculum Vitae, contact information for at least two academic references, and if applicable, a list of
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packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process adaptive and scalable. The research effort will be directed towards the selective recovery in
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bring A PhD degree in social sciences, informatics, (digital) humanities, or another relevant field A strong collaborative ethos and an ability to work independently Demonstrated understanding of the Open
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the Engagement & Inclusion and Evaluation & Culture Focal Areas. What you bring A PhD degree in social sciences, informatics, (digital) humanities, or another relevant field A strong collaborative