171 computational-physics-"https:"-"https:"-"https:"-"https:"-"IFM"-"IFM" positions at ETH Zurich
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, neuroscientists, computer scientists, clinicians, and data scientists across the Singapore-ETH Centre (SEC), the National University of Singapore (NUS), and Nanyang Technological University (NTU), the PhD student
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Switzerland for more than 12 months in the 36 months immediately before their recruitment date. The student will be enrolled in the structured PhD programme of the Department of Mechanical and Process
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their recruitment date. The student will be enrolled in the structured PhD programme of the Department of Mechanical and Process Engineering or the Department of Health Sciences and Technology
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psychologists, neuroscientists, computer scientists, clinicians, and data scientists across the Singapore-ETH Centre (SEC), the National University of Singapore (NUS), and Nanyang Technological University (NTU
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focusing on the physical realization of a next-generation high-speed AFM system tailored for biological research. Job description The Lead Mechatronics Engineer is responsible for the physical realization
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In the Optical Nanomaterial Group, we specialize in the nanofabrication and optical characterization of TFLN photonic circuits. While the fabrication process is at an advanced stage, further
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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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for key program deliverables. Drive the development of high-impact deliverables, such as the annual report and the Phase III Outline Proposal. Coordinate input across projects, synthesize insights, and
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Architecture & Roadmap: Define the technical vision and high-level design for ViViD-AFM V2.0, ensuring a scalable and robust system architecture. IP Strategy & Novelty Design: Drive the design process to ensure
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abnormal noradrenergic signaling. In close collaboration with the University of Oxford, we combine cutting-edge computational modeling of human behavior with pupillometry and functional magnetic resonance