22 parallel-computing-numerical-methods Postdoctoral positions at University of London in United Kingdom
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computational methods. You will not only employ cutting-edge multi-omics analysis pipelines but also develop new computational techniques to study cellular communication and investigating new targets for drugs re
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, policymakers etc) to develop a critique of the drivers and negative externalities of industrial animal agriculture. The CRILS Network Post Doctoral Research Fellow /Programme Manager will deliver online and in
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computational methods for the analysis of spatial omics data (Bortolomeazzi Nature Comms 2022) and clustering of rare cell populations (Martens, Bioinformatics 2023) About Queen Mary At Queen Mary University
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matter and combine theoretical and numerical modelling with scientific software development to build a new framework for describing superfluid neutron star interiors. For this project, the post holder will
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Research Council’s (AHRC) Bridging Responsibilities AI Divides (BRAID) programme that will explore new technologies, new business models and new approaches to data provenance in pursuit of an equitable
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Array Observatory. The Astronomy Group specifically focuses on applying advanced Artificial Intelligence (AI) methods to astrophysical research. As a result, we actively collaborate with experts in
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science. About You We are seeking a PDRA who will use advanced statistical and computational methods to analyse multi-omics datasets, such as genomics, proteomics, and metabolomics. You will develop
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detection of disease using light (referred to as a non-ionising radiation technology) in association with fast computational methods and artificial intelligence (AI) to reconstruct images. This will be
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at the Translational Pharmacology Lab directed by Dr. Livia A. Carvalho. The post holder will apply both wet-, and dry- lab methods in appropriate human clinical studies to interrogate research questions
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Division), and the International Livestock Research Institute in Kenya. About the role The post-holder will lead the development of new computational and statistical approaches for inferring epidemiological