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Field
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genomics, bioinformatics, and biomedicine. Contribute to the publication of research findings in high-impact journals. Gain hands-on training in cutting-edge and multidisciplinary research. Required
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, data managers, data analysts, and bioinformatics professionals involved in the projects. Identifies barriers, explores solutions, proposes and implements solutions while engaging the appropriate
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics, biomedical data science, biomedical engineering, computer science, electrical engineering, statistics
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from doctoral work is required. Experience in cancer research and bioinformatics analysis is desirable but not essential. Supervision Exercised None To apply: Please apply via Academic Jobs Online (https
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large-language model applications in healthcare systems, systematically identifying ineffective clinical processes, bioinformatics analyses of population health, as well as more conventional outcomes
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on cancer or metabolism-related diseases like obesity and diabetes should not apply). Evidence of publication from doctoral work is required. Experience in cancer research and bioinformatics analysis is
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Cytometry Innate immune system experience Molecular biology Biochemistry Metabolism Cell culture Bioinformatics Knowledge, Skills and Abilities: Ability to communicate effectively, both in writing and orally
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the following: bioinformatics, proteomics, microscopy, biochemistry, structural biology or CRISPR screening in mammalian cells. At least one first author primary paper, or a first author manuscript
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in a well-stablished, well-funded research group, currently 35+ dynamic members, developing bioinformatics, analyzing multi omics data and performing functional genomics analyses to explore