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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
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the transition to a sustainable energy future. SOECs, which operate at high temperature (typically in the range of 600 to 850 °C), offer the highest efficiency among different electrolysis technologies
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are looking for a highly skilled and extremely motivated person who is energized by working in close collaboration with people from different scientific backgrounds and who can contribute strongly to team
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thin-film lithium niobate for cluster state generation. In common for the three projects: Develop new quantum computing protocols using CV states of light and hybrid detection technologies. Plan
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transfer of cell factories and bioprocesses through internal gate milestones Formulate strategies and developing robust bioprocesses for up-scaling Plan and run batch, fed-batch, repeated batch cultivations
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. The position is part of DTU’s Tenure Track program. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial
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thereafter. The position is a full- time position. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU
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quantum light sources coupled to quantum memories. Quantum memories are key components of optical quantum computers and scalable quantum networks: They are responsible for the central tasks of storing and