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the optimized intervention that resulted from the digital-twin experiments indeed also improved human learning. The group now aims to examine how large language models can serve as digital twins for human
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of machine learning and high-performance computing, tackling complex, open-ended challenges to deliver scalable solutions. You will design and optimize a software-defined infrastructure that enables cutting
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100%, Zurich, fixed-term The upcoming Molecular Engineering Thermodynamics (MET) Group at ETH Zürich is looking for a doctoral student to develop and improve computational tools for the molecular
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species annotations, climate, and topography, into deep learning algorithms. Test deep learning models (Transformers and CNNs) for optimal accuracy using large datasets that include over 110,000 tree
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First Stage Researcher (R1) Application Deadline 30 Apr 2026 - 21:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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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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Development for Digital Einstein 10%-30%, Zurich, fixed-term 20.04.2026 | Computer Graphics Laboratory (CGL), (D-INFK) PhD position in light controlled variable stiffness