214 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Technical University of Denmark in Denmark
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the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's
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you are open to working with other colleagues. Qualifications You can work independently, plan and execute complicated and challenging tasks. You are flexible, self-motivated, interested in
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documentation in enzyme biotechnology with a relevant educational background, and expertise in enzymology and molecular biology techniques. Practical experience with protein informatics, cloning, protein
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programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to
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biosustain.dtu.dk Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges
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study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear
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international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded
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computing facilities, Europe’s largest public real-time power system simulator, data hubs, and the Bornholm renewable energy system. These resources support everything from data-driven research to full-scale
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international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded
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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