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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust mathematical
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applications, including solving mathematical reasoning problems and tackling the Abstraction and Reasoning Corpus (ARC) challenge among others. The ideal candidate has a strong background in machine learning and
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considered in exceptional cases (e.g. child- or familycare, other projects or employment). Profile You have outstanding experience in Machine Learning with a PhD degree from a university in Computer
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active sites), in vitro and in vivo enzyme screenings, electrochemistry, and machine learning-assisted directed evolution. As part of this project, you will collaborate closely with PhD students and
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publications. Desired: Experience in nanopore and/or other single-molecule experiments and their interpretation Coding skills for advanced data analysis, machine learning, kinetic modeling, etc. Nanofabrication
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100%, Zurich, fixed-term We have an open PhD position in Human-Computer Interaction with a focus on intelligent and adaptive systems for Augmented Reality, Mixed Reality, and Extended Reality
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-molecule techniques. Coding skills for data analysis, pattern recognition, machine learning, kinetic modeling, etc. Advanced optics, biochemical wetlab, and/or bioengineering experience. Required: MSc degree
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organising a course and assisting with exam grading. - The anticipated start date is 1 September 2026, with some flexibility upon agreement. - A PhD in Mathematics (completed by the start date) is
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? No Offer Description PhD position in Computational mechanics The Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking one doctoral student
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Mixed Reality. This research combines physiological time series analysis (specifically EMG during muscle activation), machine learning, and real-time system design for intelligent interaction systems