464 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "Dr" "P" 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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program exploring the role of fluctuations in molecular transport processes by studying highly controlled experimental models at the meso- and nanoscale, funded by a UKRI Frontier Research Guarantee Grant
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of automated workflows for the analysis of existing remote sensing data archives and potentially near-real time analysis. You will work with the Principal Investigator (Professor. James Lea) to agree a programme
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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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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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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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agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 02.04.2032 Reference no.: 5394 Your future place is at the Department of Sport and Human Movement Science in the research area of Computer Science in
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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