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Field
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. Using bioinformatics, data science, or behavioural science – including artificial intelligence, you will drive innovative solutions to data challenges, support impactful research and help translate
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with high-performance computing clusters. Experience in using different libraries such as RDKIT, DeepChem, Scikit, and Numpy. Experience working in bioinformatics techniques including phylogenetics
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Strong organizational and time management skills Additional optional desired skills: Experience with translational cancer research and clinical trials Proficiency in bioinformatics and statistical analysis
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microscopy experiments (e.g. confocal and light sheet) would be advantageous Experience and interest in performing programmatic bioimage analysis (ideally Python) and/or bioinformatics is required Candidate
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include: · Ph.D. in life/biomedical sciences or related field required. · Proven research success and publications, preferably in genomics and bioinformatics. · Strong analytical and
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to collaborate as part of a team AI in Life Sciences Must have a Ph.D. or equivalent in a quantitative/computational field related to the life sciences. These may include bioinformatics, computational
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, or related approaches. Hands-on experience in high-throughput screening techniques for protein interactions and degradation pathways. Familiarity with computational tools for data analysis and bioinformatics
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experience in advanced molecular cloning, protein biochemistry, and single-cell approaches. · Experience in structural biology, proteomics-lipidomics, and bioinformatics is preferred. Salary: Commensurate with
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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
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to evaluate and validate naïve pluripotency. Transcriptomics and network inference will be supported by computational/bioinformatics members of the team. Chimaera studies will be in partnership with our