70 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral research jobs at Technical University of Denmark in Denmark
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engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees. Read more about us at www.energy.dtu.dk . Technology for people DTU
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Job Description Are you passionate about leveraging IoT, machine learning, and optimization to make energy districts and communities more sustainable? We are looking for a highly motivated and
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work, including through writing peer-reviewed scientific article(s) The ideal candidate: Holds a PhD in a relevant field such as epidemiology, public health, biology, or a related discipline. Has proven
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the above-mentioned research areas (e.g. scp-MS, cell heterogeneity, computational proteomics, etc.) Foster national and international collaborations, both outside and within the university Teach in
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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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qualification, you must hold a PhD degree (or equivalent). The successful candidate must moreover exhibit the following professional and personal qualifications: Strong background within machine learning learning
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, supervisor, and scientific community, promoting the lab's reputation, write reports for sponsors, research grants, and submit publications to journals Teach, supervise, and mentor undergraduate, PhD, and
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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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, postdocs, and PhD students working collaboratively at the interface of physics and Earth science. This project offers a rare opportunity to engage in groundbreaking research with high impact across both
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airborne geophysical observations, and strong competences in Arctic fieldwork logistics. The gravity research group has carried out airborne gravimetry since the 1990s and has an annual work programme to