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team composed of researchers, engineers, bioinformaticians, biostatisticians and a project manager. The ideal candidate should hold a Ph.D. in Population genomics, Statistical Genomics, Evolutionary
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for 2 Post-Doctoral Researcher positions in the field of immunology to work on Research Council of Finland-funded projects. The Fagerholm group consists of Immunologists, Biochemists and Bioinformaticians
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research. A position integrated in the FLI PostDoc Network . The Network promotes interdisciplinary collaborations involving clinician scientists, basic scientists, and bioinformaticians and supports career
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expression of fungi in response to selenium exposure - Work with bioinformaticians to analyze fungal transcriptomics and proteomics data 45% COMMUNICATION - Communicate results through peer-reviewed
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Group Leaders and Postdoctoral Researchers: Global Call for Scientific Talent at Fondazione Telethon
an integrated, multidisciplinary environment alongside geneticists, molecular and cell biologists, experts in genetic engineering technologies, immunologists, clinical researchers and bioinformaticians. A unique
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cancer models. Designs and executes experiments using high-throughput sequencing and molecular biology techniques. Collaborates actively with lab members, bioinformaticians, and clinical teams
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a dynamic and collaborative team, you will: Compare and refine vaccine candidates in collaboration with structural biologists and bioinformaticians Evaluate vaccine-induced immunity in vivo, focusing
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biologists, clinicians, and bioinformaticians for data interpretation and validation of computational findings in clinical or experimental settings. Disseminate research outcomes through publications in high
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molecular changes associated with aging and disease. Collaborate with interdisciplinary teams, including bioinformaticians, neurologists, neuropathologists and clinical researchers, to translate findings
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We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a