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Field
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to completion*) in a relevant subject and a proven track record in computational biology and data science, coming from either a bioinformatic or computational background. With experience of working with large
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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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immunology, flow cytometry, and or cellular metabolism, and should have a strong foundation in bioinformatic analysis. (Examples of previous work includes PMID 35169026, 35256539, 32125282). The position is
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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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: 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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Services Research, Statistics/Biostatistics, Biomedical/Health Informatics or Computer Science. Strong quantitative background in pharmacoepidemiologic methods, bioinformatics, causal inference modeling, AI
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to collaborate with fellow researchers, fostering a collaborative and innovative research culture. The ideal candidate has the following skills: PhD in computational biology, bioinformatics, computer science