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postdoc to join our team. We expect both scientific and engineering work, that will focus on first classifying separation technologies available for isolating CO2 electrolysis products. Based
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Technology Enabling Advanced Drone- Facilitated Active Support Tactics for Military and First Responder Operations.” You will be a member of the Human-Robot Collaboration Lab and Learning & Autonomous Control
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or computational Affinity for computer simulations A finished PhD thesis (at least submitted to the PhD committee by the time you start) Terms and conditions The appointment will be for 20 months (based on a
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application. We look forward to receiving your application. The first interviews will take place on Monday 29 September. You will preferably start your employment on 1 November 2025. We can imagine you're
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& utilization technologies, we are looking for a proactive, process engineering-minded postdoc to join our team. We expect both scientific and engineering work, that will focus on first classifying separation
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of the sports facilities available on campus for a small fee; a fixed year-end bonus of 8.3%; excellent pension scheme. In addition to these first-rate employee benefits, you will of course receive a good salary
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analysis; You have a creative, curious and driven nature; You have strong initiative and good time management skills. This is what we offer you We offer a temporary employment contract for 38 hours per week
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on the reliability of next-generation SiC MOSFETs. This research is part of a collaborative Horizon Europe initiative involving leading industrial partners and academic institutions across the EU. The focus of your
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Internet Exchange (AMS-IX), and the Faculty of Science of the University of Amsterdam. About Research group The CWI Machine Learning research group focuses on how computer programs can learn from and
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biology and systems chemistry/complex molecular systems. The research programme of the Feringa group focuses on synthetic and physical organic chemistry, inspired by Nature's principles of molecular