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Job Description We offer you a unique opportunity to join the PlastChain project with the aim to develop a process for chemically recycling end of life plastic waste by gasification to form syngas
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dynamics (CFD) will be developed and coupled with the existing model to account for melt pool dynamics to include advection in the thermal modeling and to predict porosities and imperfection trajectories in
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are expected to orient more strongly towards hospital-at-home and strengthened collaboration with primary care and municipal services to support more integrated and coherent patient pathways. These developments
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, there may be groups of different parameters producing the same output as the true system parameters, making it almost impossible to uniquely recover the actual ones. AI:Wind-Lab aims to develop a set of
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computational challenges. This PhD project will investigate novel registration strategies for ultrasound-derived musculoskeletal point clouds. The work will focus on developing geometry-aware alignment methods
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understanding of molecular thermodynamics, and realize the importance of different types of properties in selecting and developing the most physically sound thermodynamic model for water and electrolytes
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Candidates (DCs). We aim to create a network of early-stage researchers equipped with knowledge and skills - including entrepreneurship – to develop and support implementation strategies that address
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funded by the Novo Nordisk Foundation and led by Assoc. Prof. Janus Juul Eriksen @ DTU Chemistry – revolves around the development of new decompositions of molecular properties into local contributions
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strong societal impact. Your responsibilities will follow the project scope described above and include laser design and development, experimental nonlinear optics, laser and frequency-comb
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under uncertainty”. This position is part of the ERC-funded DECIDE project lead by Professor David Pisinger. You will be responsible for developing new methods for decision support in stochastic