52 parallel-processing-bioinformatics Postdoctoral positions in computer-science in United Kingdom
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– NSF CBET project on sustainable computer networks, with a focus on carbon emissions reduction and network telemetry. You will contribute to the development of a framework that reduces the carbon
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for candidates to have the following skills and experience: Essential criteria 1. PhD (awarded or close to completion), or equivalent experience in human-computer interaction, AI or similar 2. Expertise
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Fixed-term: The funds for this post are available for 2 years in the first instance. Applications are invited for a two-year Postdoctoral Research Associate (PDRA) position in Chemical Process
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their data pipeline. These foundation models will be used to improve the operation of cryoSTEM microscopes when applied to biological samples. Parallel Model Training: Deploy parallel computing systems
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: bioinformatics, breeding, biomaterial synthesis, and cellulose‑processing enzyme design. You will develop hybrid quantum‑classical algorithms to tackle domain‑specific, computationally demanding problems. Methods
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in deploying advanced bioinformatics approaches to diverse tissue-derived datasets acquired from people with immune-mediated inflammatory diseases – with an emphasis on inflammatory arthritis. We
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established and emerging bioinformatics, statistical modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics
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from vaccination, natural infection, and controlled human infection studies. The Postdoctoral Research Scientist in Computational Biology will apply established and emerging bioinformatics, statistical
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and parallel computing; our work frequently appears in the top conferences of the field (recently e.g. STOC, SODA, ICALP, PODC, and DISC), and we have received a number of awards, e.g. the best paper
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including applied modelling of biological processes. You must have the ability to integrate mathematical, statistical and biophysical approaches to address biological questions. It is essential that you have