273 data-"https:"-"https:"-"https:"-"https:"-"https:"-"LGEF" Postdoctoral positions in United Kingdom
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, the Cancer Treatment Outcome Programme at the Country Durham and Darlington NHS Trust. Experience conducting quantitative research including data collection, management, and analysis is essential. Experience
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modeling. The role involves developing and implementing computational methods to integrate single-cell and spatial transcriptomics, proteomics, metabolomics, and metallomics data. Using advanced techniques
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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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enzyme assays A strong understanding of high-throughput and automated/semi-automated workflows in laboratory techniques relevant to the post Excellent skills in experimental design, data analysis
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to appoint a highly motivated and experienced postdoctoral research associate in computational materials chemistry. The position is funded by the EPSRC project “Data-driven design of organic mixed conductors
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, "INFORMED-AI" hub. More details can be found about the INFORMED-AI hub at. The post is fixed term for 24 months with the start data as May 1st , 2026, and the end as April 30th , 2028. The successful
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knowledge in relevant approaches analysing weather or climate data, or data from related physical systems. Fixed-term until 28 February 2027, with the possibility of an extension of up to 19 months
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personalities. Since 1365. Data protection Application deadline: 03/12/2026 Post Doc
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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