45 parallel-and-distributed-computing-"DIFFER" Postdoctoral positions at Technical University of Denmark
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                our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization 
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                Job Description We are seeking a highly motivated and talented Postdoctoral Researcher to join our team and contribute to our cutting-edge quantum computing project. This ambitious project focuses 
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                interest in information processing in humans and computers, and a particular focus on the signals they exchange, and the opportunities these signals offer for modelling and engineering of cognitive systems 
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                complex droplet flow patterns and the relations with the chemistry. One successful theory for optimization of surfactant impact and blends is the hydrophilic-lipophilic deviation balance. This enables us to 
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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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                . Join us in making a tangible difference and advancing the field of recycling. Your expertise and dedication can help shape a more sustainable and efficient recycling system, benefiting both industry and 
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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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                . The funding body is the Novo Nordisk Foundation. In parallel with research, you have the opportunity to take part in innovation activities with Copenhagen Microsystems , and this could be up to 20% of your time 
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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