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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. We are looking for a...
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of Prof. Rachel Tribe and Dr Martinez-Nunez. The postholder will also benefit from the vibrant and growing bioinformatics community led by Dr. Alessandra Vigilante (lead of the Faculty of Life Sciences and
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Genomics, Transcriptomics, and Bioinformatics Department Bashashati Laboratory | School
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and video of sign language to be translated into spoken language. This project is a collaboration between the University of Surrey (Prof Bowden), the University of Oxford (Prof Zisserman) and UCL (Prof
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automatically translated into photo-realistic sign language and video of sign language to be translated into spoken language. This project is a collaboration between the University of Surrey (Prof Bowden
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The research group of Prof. Dr. Nikolaos Perakakis is seeking for a highly motivated and talented Postdoctoral Research Fellow (max. 6 years from the acquisition of the doctoral degree) to join our
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Research Associate. The Postdoctoral Research Fellow is required to carry out scientific research on an aspect of an ARC Discovery Project on “A Probabilistic Approach to Big Data-Based Industrial Process
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tumors using high-throughput sequencing technologies. Develop, optimize, and manage bioinformatics pipelines for processing and analyzing large-scale sequencing data (e.g., whole exome sequencing, RNA
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Interview Date: To be confirmed Reference: CSS-0224-25 We are looking for enthusiastic individuals to apply for a two year fixed term fellowship in Cardiothoracic Surgery, in the Department of Clinical
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for a Research Fellow in Bioinformatics/Computational Biology to help develop, coordinate, and conduct robust analysis of high-throughput host protein data under supervision using advanced analytical and