27 data-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S" Fellowship positions at Nature Careers
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interests in applied statistics, machine learning, or computational biology are encouraged to apply. For more information, please visit our website https://ds.dfci.harvard.edu/postdocs to view the list
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Job Description SJCRH Position Overview: The Department of Information Services is seeking a highly skilled and motivated faculty- level Clinical Informatics Researcher to join our dynamic clinical
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expression, age, disability, genetic information, citizenship status, or veteran status. To learn more about our commitment to diversity and inclusion, please visit: https://jobs.utsouthwestern.edu/why-work
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information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some
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, including contact information, academic record, research experience and publication list Cover letter detailing your motivation for applying to the advertised research topic and/or project, including how your
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, including other Harvard Medical School-affiliated hospitals. The qualified candidate will analyze multi-omics liquid biopsy data for minimal residual disease (MRD) detection, quantification, and assessment
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oncology and health policy by providing rigorous training in the use of big data, advanced biostatistical methods, and econometric approaches, paired with dedicated mentorship from experts to advance
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) for hypothesis development, experimental design, and execution. Participate in data processing, analysis, discussion, reporting, presenting findings at conferences, and manuscript drafting. Work effectively within
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, to generate crucial information revealing the cellular roles, functions and underlying mechanisms by which MICL regulates immunity. The focus of this work will be to elucidate the components of MICL involved in
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funding, the Centre brings together a vibrant community of biomedical scientists, clinicians, engineers, physical scientists, and data experts who share a mission to transform the lives of people living