323 computational-physics-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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strong interest in applying theoretical and computational methods to fundamental problems in materials growth. A strong background in thermodynamics, kinetics, statistical mechanics, solid-state physics
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, and selective forgetting, and translate these into training-recall-forgetting cycles on physical polymer films and bilayer actuators. Contribute to integrating learning materials into soft robotic
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heat stress and improve thermal safety, comfort, and performance in challenging environments. Your tasks Your task will be Develop, adapt, and validate experimental and computational methods
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driven by curiosity about the physical mechanisms that underlie failure and by the ambition to translate this understanding into more reliable and resilient materials and structures. By combining numerical
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degree in Physics, Applied Physics, Electrical Engineering, or a closely related discipline A strong interest in experimental physics Excellent analytical and problem-solving skills Enthusiasm
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Building a quantum computer that can solve real-world problems will require the integration of many highly coherent qubits. Hole-spin qubits in planar germanium quantum wells are among the most
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Applicants should hold an MSc degree in biomedical engineering, computational biology, computer science, applied mathematics, physics, mechanical engineering, or a related discipline. After
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) synchrotron located at the Paul Scherrer Institute (PSI). You will be a core member of the SNSF Starting Grant project NEXUS-3D, working at the intersection of applied physics, high-performance computing, and
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, computer science, applied mathematics, statistics, physics, engineering, or a closely related field, completed or near completion. Demonstrated expertise in generative AI, such as diffusion models, flow matching
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, computer science, or a related field. Postdoctoral applicants must hold, or be close to completing, a