283 data-"https:"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions in United Kingdom
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Field
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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
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. Developed at the University of Cambridge, Tessera enables highly efficient extraction of temporal patterns from Earth observation data, which we aim to use to track recent changes in landscapes managed
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contribute to hypothesis-driven research, data analysis and assay development within an integrated drug discovery framework. The role also involves managing independent research activities, contributing
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-molecule inhibitors. The postholder will use structural, biochemical and microbiological data to inform molecule design, generate and test hypotheses, and develop new synthetic methodologies. Alongside
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a relevant field and have relevant background knowledge in omics data generation, genome engineering, 3D genome, and computational biology. This is a hybrid wetlab and computational position, and the
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applicant will be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically. Applicants will possess a relevant PhD (or nearing
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-scale single-cell data from primary human tissues, spatial transcriptomic data, and experimental genomic screens. The postholder will join a multidisciplinary team based in the Institute of Developmental
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to Postdocs, Research Assistants, Research & Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About
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York Genome Center) to co-design experiments and generate novel datasets, including exome/genome sequencing of hundreds of thousands of individuals, large-scale single-cell data from primary human
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successful careers and build skills in achieving impact, so their findings can influence real-world change. Responsibilities include: • Supporting and conducting data collection across the research