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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 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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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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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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modeling will be used to model processes occuring in the electrode. The obtained insights will be used to engineer and fabricate new electrode geometries with optimized mass transport and catalyst layer