171 high-performance-computing positions at Technical University of Denmark in Denmark
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for the Green Transision (BRIGHT). The job You will be responsible for day-to-day operation and management of our laboratory robotics, working within our Biofoundry and providing support as needed to all research
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assays. Publish results in high-impact journals and present findings at scientific conferences. Engage in interdisciplinary training to build expertise in both computational and experimental approaches
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on turning high-quality (smart meter, grid, or weather) data into actionable insights and better-informed decisions through advanced data analytics. When this energy data is shared, it can be exploited by
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GitHub, and working with high-performance computing clusters will be viewed positively. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university
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programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment
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: developing and implementing a data reduction pipeline for 2ES to achieve extreme RV precision; conducting laboratory testing and characterization of 2ES to ensure optimal performance and stability; integrating
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Job Description The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Centre for Biosustainability (DTU Biosustain) is developing novel methods to engineer proteins more
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from concept to operation, advancing our vision of autonomous, in-situ resource–based construction for the Moon and beyond. We invite you to join our section Digital Building Technologies
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areas represented by DTU’s research departments. Key responsibilities include: Working with a high-performing, experienced team to deliver on DTU’s mission to be an entrepreneurial university and increase
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(IBIS) at DTU Bioengineering (www.ibis.dtu.dk ). IBIS is an international, multidisciplinary research program dedicated to developing the next generation of microbial biofertilizer solutions for a