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Field
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looking for a highly motivated and talented postdoctoral researcher with a computational or bioinformatic background to join the Department of Breast Oncology at Dana-Farber Cancer Institute. The candidate
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diagnostics The successful candidate will be expected to conduct wet-lab molecular biology, tissue culture, and high throughput screen experiments. Knowledge of bioinformatic analyses is considered a strength
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or genomic data. Bioinformatics, phylogenetics, molecular evolution, or genomic epidemiology. Scientific writing and oral presentation. Applicants are not expected to have experience in every area. Additional
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anticipated to receive by July 2027. Preferred skills: Academic training in computer science, artificial intelligence or machine learning, data science, bioinformatics, computational biology, epidemiology
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to improve early detection, predict disease outcomes, and develop targeted interventions that enhance patient care and long-term kidney health. Bioinformatics and Biomarker Analysis in Kidney Disease
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fields (data science, bioinformatics, health informatics, computer science, information systems, statistics, public health, biological sciences, microbiology, or a related field). Degree must have been
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
. Bioinformatics analysis of sequencing data. Population genetics or evolutionary genomics. Applicants with extensive experience in highly degraded DNA (for example forensic, environmental, museum, or clinical
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, MD/PhD, or MD) in computational biology, bioinformatics, biostatistics, cardiovascular biology, epidemiology, or a closely related field Experience with proteomic, metabolomic, or other omic data
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for purposes of collective bargaining and matters affecting your compensation and working conditions. Basic Qualifications PhD in Computational Biology, Bioinformatics, Machine Learning, Data Science, or a
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bargaining and matters affecting your compensation and working conditions. Basic Qualifications Ph.D. in neuroscience, molecular biology, genetics, bioinformatics, or a related field.Strong background in