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processing quantum information. The memories must be optically active so distant nodes in a network can be entangled via single photons emitted by the memories. Erbium in silicon is currently subject to
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PhD degree (or equivalent). Specifically, a PhD in Energy Engineering, Mechanical Engineering, Chemical Engineering, Environmental Engineering, or a related field. We seek candidates with strong
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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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qualification, you must hold a PhD degree (or equivalent). Further information Further information may be obtained from Professor Mayank Jain, maja@dtu.dk , +45 4677 4909. Application procedure To apply, please
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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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limited observational data. WaterColor seeks to fill these critical knowledge gaps through an integrated approach that combines field observations, satellite remote sensing, and advanced optical techniques
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opportunity to be part of large-scale experiments tackling pressing societal challenges. You'll be involved in every stage of the research process—from experimental design to data analysis and publication—while
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that the candidate has demonstrated research experience and is able to participate in international fieldwork, meetings and dissemination activities. As a formal qualification, you must hold a PhD degree (or
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level. You will collaborate with fellow PhD students and postdocs from various disciplines and can engage with both academic and industrial partners in Denmark and abroad. You are expected to participate
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: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs