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) in computer science, artificial intelligence, data science, applied mathematics, physics, electrical engineering, or a related field. You have a solid background in machine learning; experience with
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within a single instrument, this technology has the potential to significantly expand the capabilities and accessibility of electron microscopy. Working at the intersection of electron optics, MEMS
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institutions and several industrial partners with extensive expertise in quantitative imaging, image analysis and imaging technology. By conducting research in both academic and industrial settings, PhD
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institutions and several industrial partners with extensive expertise in quantitative imaging, image analysis and imaging technology. By conducting research in both academic and industrial settings, PhD
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the Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS). MS3 specializes in research and education at the cutting edge of microwave systems, focusing on both fundamental and applied
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the EKL cleanroom, create test structures and validate their thermal performance and other relevant materials properties. The research will take place in the Electronic Components, Technology and Materials
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engineering, physics, materials science or a related area. Experience with modeling, experiments and design. Team players with good communication skills. Creative, independent and self-motivated. with
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developers, and technology providers for high-tech greenhouses. The goal of the GreenControl project is to collaborate with this team to support the transition to climate neutrality in CEA by using a
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should have the following qualifications: A strong Master's degree in Physics or Applied Physics, Photonics, Nanotechnology, Engineering or a related field. Knowledge of nanooptics, photonic crystals
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within the PhotonDelta and QuantumDelta growth fund program. Besides research you will also contribute to education within our group and the Department of Electrical Engineering and mentor BSc and MSc