28 quantum-computing-"https:"-"https:"-"https:" Fellowship research jobs at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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simulations Quantum mechanical methods (e.g., DFT or QM/MM) Enhanced sampling or free-energy calculations Programming or scripting for computational research (e.g., Python, MATLAB, Bash) You will be motivated
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We are seeking a computational glycobiologist to join a multidisciplinary project developing next-generation enzymatic tools for antibody glycoengineering. The role will focus on applying state
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The Faculty of Medicine Genomic Informatics Group invites applications for a 3-year full time fixed-term postdoctoral position of Research Fellow or Senior Research Fellow in Genomic Informatics to
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–biomolecule or catalytic system simulations Quantum mechanical methods (e.g., DFT or QM/MM) Enhanced sampling or free-energy calculations Programming or scripting for computational research (e.g., Python
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STAG Research Centre, which encompasses scientists from Maths and Physics at the interface of string theory, quantum field theory, gravity and astrophysics. Applicants’ profile Applicants should have a
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We are looking to appoint a postdoctoral researcher with experience and expertise in nanoelectronic device fabrication, to be based in the School of Electronics and Computer
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of Electronics and Computer Science at the University of Southampton as part of the group of Prof. Kees de Groot and Dr Ruomeng Huang. This postdoctoral fellowship is part of the EXPRESS (Exploiting Single Source
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for Selective Absorbers. Your primary role will be to undertake theoretical and computational research on hyperuniform disordered photonic materials for frequency-selective solar-thermal absorbers based on metal
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biggest challenges. We are seeking a Research Fellow in Liquid Metal Artificial Enzymes to join the School of Electronics and Computer Science (ECS) at the University of Southampton. The successful
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programme, Deep Molecular Phenotyping of Metastatic Breast Cancer. This ambitious, interdisciplinary project aims to generate an integrated, multi-omic understanding of secondary (metastatic) breast cancer