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learning, knowledge exchange, and joint knowledge creation. During these stays, 100% of the time of the PhD is dedicated to the research program. As part of NGinfra, the PhD candidate will also have ample
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, and computer vision for high-tech greenhouses. The goal of the LEAP-AI project is to collaborate with this team to design the next generation of autonomous greenhouse control systems and will culminate
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divisions: Quantum Computing , Quantum Internet and Qubit Research . 220 FTE and over 300 curious people work in our divisions and support teams, and we actively welcome new colleagues who share our vision
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planning background to a variety of planning courses, particularly in our bachelor programme ‘Spatial Planning and Design’ and in our master programme ‘Environmental and Infrastructure Planning’. Our
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science, engineering, physics, mathematics or a similar domain. There is a strong preference for an applicant with a biomedical background. Experience with medical image processing, histopathology, computer vision
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, and computer vision for high-tech greenhouses. The goal of the LEAP-AI project is to collaborate with this team to design the next generation of autonomous greenhouse control systems and will culminate
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PhD in solid-state spins and their applications for quantum science. Job description We are looking for an passionate candidate to join the Taminiau Lab, which investigates solid-state spins and
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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programmes. Qualifications The candidate being appointed on the chair should: Have a strong vision on education for executives and life-long learning and is able to translate this vision into new program and