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agreement. We develop computational methods to accelerate materials discovery through defect engineering, with a focus on extreme environments. Application areas include fusion reactors, hydrogen systems, and
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, optimized for high-performance computing (HPC) environments Classifying ice crystal habits using Convolutional Neural Networks (CNNs) Providing intuitive graphical interfaces for user interaction and data
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technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university
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ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct
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one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge
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technical independence from previous versions, establishing a fresh patent portfolio for V2.0. Technical Coordination: Work in a tandem with the Lead Mechatronics Engineer to synchronize hardware development
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atmospheric/environmental sciences, physics, computational science, engineering or a related field A background in numerical modelling, statistical data analysis and/or programming skills is highly encouraged
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100%, Basel, fixed-term The highly competitive the Bio-Engineering Systems for Therapeutics (BEST) postdoc programme, part of the Next-gen Bioengineers initiative, is operated jointly by
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apply bioinformatics and statistical genomics approaches to characterize trait-associated sequence variation. We offer two PhD positions at the interface of computational and statistical genomics, and
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demonstrated through publications and/or teaching in the area of digital technologies (computing, data, algorithms, AI) and society. Interest and experience in STS and humanities pedagogy in engineering contexts