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annotation, and emerging machine-learning and generative methods for spectra or structure proposals. Evaluate and test emerging technologies (hardware and software) in close interaction with collaborators and
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, and operate state-of-the-art neutral-atom experiments Demonstrate novel quantum control and measurement protocols Lead research projects and mentor students Collaborate closely with researchers at ETH
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collaborate with the QuaTrEx developers. Job description As part of the MALOQ project, you will train state-of-the-art ML models to learn atomic, electronic, and vibrational properties of large-scale atomic
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-Tumor Connectivity We are seeking a highly motivated postdoctoral researcher for an exciting collaboration between the Bio Engineering Laboratory (Department of Biosystems Science and Engineering, ETH
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to the development, adaptation, and application of machine‑learning models tailored to RODI data (in collaboration with project partners). Designing and implementing an innovative image‑based database to manage and
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complex project at highest scientific levels at the Department of Biosystems Science and Engineering, ETH Zürich in Basel in collaboration with internationally leading groups in cell, organoid and
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Policy , providing excellent opportunities for collaboration with leading scholars at ETH Zurich, EPFL, Technical University of Munich, Stanford University, and others, as well as policymakers in
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(electrolytes) for redox flow battery technologies. This position offers a unique opportunity to perform high-level academic research while collaborating with a dynamic startup, gaining insight into how
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. This position is embedded within the SNSF Sinergia project SLIHI4BONE (Nr. 213520; project start 01.04.2023; collaboration partners: M. Bohner, RMS Foundation, Bettlach; R. Müller, ETH Zurich; E. Wehrle, ARI
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involve teamwork, including coordination with PhD students and other postdoctoral researchers. It is important to demonstrate the spirit of collaboration without compromising research independence. Your