693 computational-physics "https:" "https:" "https:" "https:" "Chalmers" Fellowship positions in United Kingdom
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simulation tools (CFD) fail at the nanoscale where these gas and vapour films dictate the physics. This project will: Develop new models for the nanoscale behaviour of thin films affected by intermolecular
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closely with civil engineers, computational modellers, physicists, and geophysicists to organise trials addressing scientific research questions. Work with asset owners will also concentrate on determining
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individually, make a real difference. The role The main purpose of the job is to undertake research and support the delivery of the OSMOSIS research programme as required. OSMOSIS is funded by the National
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(PHES) is seeking to appoint a Research Fellow to contribute to the UKRI-funded Local Health and Global Profits programme, a national research consortium led by the University of Bath and involving
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programme. To be successful in this role, you will need to demonstrate: A Ph.D. (or equivalent) in physics or engineering, specialising in photonic devices. Substantial and authoritative practical knowledge
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organisation. In so doing we provide a bridge to translational medicine, and interface between physical and life sciences. We are committed not only to innovative research and the highest standard of teaching
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researcher with a strong interest in optical fibre technology to work on the UK’s Engineering and Physical Sciences Research Council (EPSRC) funded Programme Grant, HiPPo (Smart Fibre optic High-power
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for a highly motivated and talented researcher with a strong interest in optical fibre technology to work on the UK’s Engineering and Physical Sciences Research Council (EPSRC) funded Programme Grant
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responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and execute methods for characterizing and linking the texture and
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and responsibilities Conduct a comprehensive review and synthesis of existing air quality, health and economic data, applying quantitative and computational techniques where appropriate to ensure robust