312 computer-programmer-"https:"-"Brookhaven-Lab"-"https:"-"https:"-"U.S" Postdoctoral positions in United Kingdom
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international partners and maintains strong links with rheumatology and primary care services throughout the NHS. We have an active programme of patient and public involvement, which informs all stages of our
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aims to achieve reliable genome design and synthesis – engineering cells to have specific functions – which will be a major milestone in modern biology. A dedicated social science program will support
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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clinical trials, and developing personalised models to understand therapy response characteristics. You will contribute to a pioneering tissue-focused research programme aimed at enhancing cure rates
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. The broader goal of the overall programme, funded through the Wellcome Trust bioimaging technology development initiative, is to deliver multimodal datasets in an interoperable manner through open access
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Institute is also a member of Stonewall’s Diversity Champions programme. The John Innes Centre is a registered charity (No. 223852) grant-aided by the Biotechnology and Biological Sciences Research Council.
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, stimulating, diverse research environment and actively promote a family friendly workplace. The Institute is also a member of Stonewall’s Diversity Champions programme. The John Innes Centre is a registered
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opportunities. We provide wide-ranging health and wellbeing support including discounted membership for our state-of-the-art sport and gym facilities and access to a 24-7 Employee Assistance Programme. Our
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Programme Grant on "Quantum Many-Body Physics with Ultracold Polar Molecules'' funded by UK Research and Innovation (UKRI).The research builds upon our expertise in creating ultracold RbCs molecules in
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis