131 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" "UCL" Postdoctoral positions at University of Oxford
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on research pertinent to the project. By scaling up data, compute and model size, large language models (LLMs) have gained an impressive and ever growing array of capabilities. The next phase of development
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-clamping (mandatory) and Ca2+ imaging as well as FRET; test hypotheses and analyse scientific data from a variety of sources; and collaborate in the preparation of scientific reports and journal articles and
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, decision-making, or other higher cognitive processes and experience of designing behavioural tasks and analysing behavioural data is also required. You will be able to demonstrate knowledge
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of adsorption processes, and how these may be exploited to generate desirable transport characteristics. The research is funded by a UKRI Frontier Research Guarantee Grant. More information about the research and
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for optical imaging. Experience and interest in data analysis and the ability to perform basic biochemical work with proteins and DNA will be highly rated in the selection process. The ideal candidate will hold
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of chromosomal mutations in bacteria; isolation of proteins expressed at native levels; proteomics and the analysis of proteomics data; high throughput genomic methods; the investigation of protein transport
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develop new scientific techniques, and test hypotheses and analyse scientific data from a variety of sources. You will contribute ideas for new research projects, develop ideas for generating research
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scientific results clearly within a multidisciplinary research team. Experience working at containment level 2/3, with hard X-ray nanoprobe technology, or with data analysis tools such as R, Python, FIJI
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activities, adapt existing and develop new scientific techniques and experimental protocols, test hypotheses and analyse scientific data from a variety of sources, reviewing and refining working hypotheses as
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Institute of Particle Astrophysics and Cosmology (BIPAC), on research aimed at extracting cosmological information from large-scale structure (LSS) and Cosmic Microwave Background (CMB) probes on very large