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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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analysis Physics » Applied physics Physics » Computational physics Researcher Profile First Stage Researcher (R1) Country Switzerland Application Deadline 23 Nov 2025 - 22:59 (UTC) Type of Contract Temporary
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novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
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the monomers are reversible, making these polymer materials adaptive, healable, easy to process and recyclable. In this project, you will explore new types of stimuli-responsive supramolecular polymers
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passionate about working in a team. You will lead the publication of results in high-impact scientific journals. You have a strong background in physics, geophysics, materials science, computation, engineering
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cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities for practical impact by taking the outputs from the developed machine learning
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. Specific requirements of the candidate Essential Skills: A background in chemistry, physics, materials science, engineering or related fields. Enthusiasm for multidisciplinary research and problem-solving
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, geophysics, materials science, computation, engineering, or a related discipline. Hands-on research experience in one or more of the following areas will be considered an advantage: Confocal microscopy and
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. Initial Application Portal: https://warwick.ac.uk/fac/sci/ceft/application-process/form Full Programme Admission Instruction Page: https://warwick.ac.uk/fac/sci/ceft/application-process/ Funding Notes
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of condensed matter systems, spin qubits, magnetism, spintronics, spin-related phenomena in semiconducting materials, quantum many-body physics, and quantum information and computing, are welcomed to apply