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Field
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, energy, and automotive. Among its variants, wire-arc directed energy deposition (WA-DED) is emerging as an increasingly compelling approach for building large-scale structural components. This process
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design recovery and stability strategies using large-scale simulation workflows. Build and expand realistic, continent-scale power system models (e.g., the European transmission grid). Implement and test
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during the same epitaxy cycle as GaN-based active devices, h-BN is on the verge of being commercialized on a large scale. Given the complexity of the MOVPE epitaxy environment, there is a need to deepen
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simulation of technical systems Interest in practical work with catalysts, laboratory setups and pilot-scale plants Ability to analyse complex interrelationships and work methodically Good written and spoken
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 12 hours ago
epigenomic assays, enabling efficient processing of large-scale multi-omics datasets, and apply them to decipher human diseases. • Translational Discovery: Integrate computational findings with clinical and
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Proficiency in at least one programming language (Python, C++, …) Keen interest in neuroscience is essential Experience with modelling, analysis of complex dynamical systems, simulation, analysis of large-scale
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research opportunity focuses on advancing large-scale additive manufacturing using metal wire as feedstock and electric arc as the heat source. The project aims to develop an innovative and efficient method
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, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally and globally. Luleå University of Technology is involved in several
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project intends to discover, using video games, what structures of social interactions can foster such large-scale cooperation. The project will first build a formalism for mechanisms driving cooperation
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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine