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a new research collaborator with a PhD in building technology, preferably in the field of building materials and/or building envelope performance and/or building renovation. The candidate must be
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field of research Participate in education, and PhD and master student supervision Profile Strong background in computational biology, bioinformatics, machine learning, or a related quantitative field
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, OSDI). We are looking for a candidate who is comfortable "looking under the hood" of the operating system. You do not need prior experience with optics. PhD/Masters in Computer Science, Electrical
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sensing. Profile PhD in Computer Vision Background in Computer Science Research experience in 3D Computer Vision, remote sensing and aerial imagery Strong computational and analytical skills, as
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collaboration with experimental labs Profile Common requirements: PhD (completed or close to completion) in computer science, applied mathematics, computational neuroscience, robotics, physics or a closely
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candidates with a PhD degree in computational biology, AI, computer science, electrical engineering, physics or applied maths, and with a strong aspiration for collaborative research of impact in biology or
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the ARIA programme, including red/blue team exercises and sprint reviews Profile PhD (or nearing completion of) in computer science or a closely related field Background in formal verification, programming
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, implementation, and open-source release of the lab’s tools and artefacts Participate in the supervision of PhD and master students Profile PhD (or nearing completion of) in computer science or a closely related
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: A PhD degree, or a PhD nearing completion, in environmental, civil, chemical, mechanical, or architectural engineering, aerosol science, atmospheric science, exposure science, or another closely
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Profile PhD in microengineering, electrical engineering, mechanical engineering, applied physics, materials science, or a closely related field Strong hands-on experience in MEMS or micro/nanofabrication