237 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Denmark
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high-impact journals Required qualifications: PhD degree (or equivalent) in physics, photonics, optical engineering, or a related field Solid hands-on laboratory experience in experimental optics, e.g
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Postdoc in development and testing of electrodes for liquid alkaline water electrolysis - DTU Energy
electrochemical testing by means of various voltametric methods and electrochemical impedance spectroscopy. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical
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of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings
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modelling. As a formal qualification, you must hold a PhD degree (or equivalent). Flexibility is essential. We are looking for a team player who can also work independently, who is motivated to help make, and
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Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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at national and international scientific meetings and the publication of the results in established peer-reviewed scientific journals. Qualifications: A PhD in social sciences achieved by 15th of April 2026
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to pursue additional independent research interests during your postdoc. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally
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independent research interests during your postdoc. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence
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(2023)). Work at these facilities will be combined with research in our state of the art femtosecond laser labs. Your profile Applicants should hold a PhD in Physics or Chemistry or related field
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Job description - Developing device-to-architecture level models of emerging nanoscale devices (spintronic, resistive, or hybrid) for in-memory and neuromorphic computing. - Exploring hardware-level