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a dynamic team that employs cutting-edge models - including iPSC-based cell biology, screening, biochemistry, genomics, imaging, and bioinformatics - to uncover new mechanistic insights into genes
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Training PhD (awarded or near completion) or equivalent experience in computational or mass spectrometry-based metabolomics, bioinformatics, or a related discipline. Demonstrated commitment to ongoing
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adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact Biosciences staffing. About you You must have a PhD in bioinformatics
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at . About you You must have a PhD in bioinformatics, biosciences, computational biology, computer science, data science or a related subject area and proven knowledge of python programming, developing machine
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experience: Essential criteria PhD awarded in genetic epidemiology, statistical genetics, bioinformatics or related discipline Postdoctoral research experience in genetic epidemiology, statistical genetics
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effectively in a multidisciplinary research environment. You may also: Hold a Masters or PhD in Computer Science, Bioinformatics, Computational Statistics, or a related field. Have demonstrated experience in
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by computational/bioinformatics members of the team. Chimaera studies will be in partnership with our collaborator Ramiro Alberio at the University of Nottingham. About you Postdoctoral Research
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models with a key focus on integrating pathology, radiology, and electronic health records (EHRs), while collaborating with the bioinformatics team to incorporate molecular data such as bulk RNA-Seq, whole
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models with a key focus on integrating pathology, radiology, and electronic health records (EHRs), while collaborating with the bioinformatics team to incorporate molecular data such as bulk RNA-Seq, whole
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, neuroimaging, neurophysiology, proteomics, transcriptomics, epigenomics, metabolomics, bioinformatics, cell models and animal models. First in man and Phase 2, 3 and 4 clinical trials are also strongly supported