47 postdoc-distributed-algorithms research jobs at University of Oxford in United Kingdom
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mentoring junior researchers and collaborate with faculty, DPhil students, and postdocs across engineering, computer science, government, and law disciplines. The role is full time 2 years fixed term
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2025. Interviews will be held as soon as possible thereafter. At the Dunn School we are committed to supporting the professional and career development of our postdocs and research staff. To help them
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developing new algorithmic approaches for TAPS data, interpreting the results in the context of phenotypic observations, and communicating these findings clearly to the broader team. You will prepare the
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. Armed with this information, the post holder will use cutting-edge paleoclimatic modelling that incorporates nutrient cycling and carbon chemistry (HadOCC) to infer the distribution of potential feeding
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recordings, optogenetics, pharmacology and advanced computational tools to analyse neural algorithms, their deficits and their rescue in genetic mouse models. This project is part of a cross-species, cross
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developed goal-sequence generalization task. The project will integrate high-density silicon probe recordings, optogenetics, pharmacology and advanced computational tools to analyse neural algorithms
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on single-agent settings. We are seeking a highly motivated postdoc to conduct research into this fast-moving area. Directions may include investigating quality evaluation methods for multi-agent systems
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distribution of immune cells using analyses such as immunohistochemistry or immunofluorescence. You will have expertise in developing multi-parameter (>4 colour) immunofluorescence approaches, experience in
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group, including postdocs, research assistants, technicians, and PhD and Masters project students if required. The post holder will develop quantum diamond microscopy (QDM) as a new paleomagnetic tool
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extracellular vesicles with **GENE**-mRNA; • In vivo delivery of first vector and evaluation of expression/distribution; • In vivo delivery of first vector in acute MI and evaluation