96 postdoctoral-image-processing-in-computer-science PhD positions at Technical University of Denmark in Denmark
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, electronics, and neuromorphic computing. You will join an international collaboration between DTU, EPFL, and Max Planck, gaining unique opportunities to work at the intersection of materials science, physics
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engineering, statistics, physics, mathematics, data science, informatics or similar degree with an academic level equivalent to a master's degree. The candidate should preferably have: Dedication and the desire
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research. Successful applicants will ideally have: A relevant MSc degree in computer science, data sciences, applied mathematics, statistics, operations research, control, electrical engineering, energy
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at the intersection of regeneration and entrepreneurship? If so, this PhD position in Regenerative Entrepreneurship may be the right opportunity for you. The Centre for Technology Entrepreneurship (DTU Entrepreneurship
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printing, embedded sensing, and adaptive control, aiming to meet the unique challenges of automation in life science environments. Research tasks and qualifications The main purpose of this PhD position is
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, have been optimized for fossil fuels for more than 140 years but the new fuels have properties that can enable a more efficient operation. Advanced combustion processes like HCCI, SACI and PPC will be
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institutes, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1
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Combustion Engines, ICE, have been optimized for fossil fuels for more than 140 years but the new fuels have properties that can enable a more efficient operation. Advanced combustion processes like HCCI, SACI
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, biochemistry, molecular biology, biotechnology, or a related discipline. You must have: Expertise in either computational protein design or wet lab techniques, with a willingness to learn the complementary skill
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bioinformatics, AI and ML software tools to integrate and process the datasets quickly and efficiently. You will also work closely with other computational and experimental biologists to uncover new insights