53 parallel-computing "Technical University Of Denmark" Postdoctoral positions at Stanford University
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are seeking a postdoctoral scholar in computational biology to work in the laboratory of Professor Sylvia Plevritis in the Department of Biomedical Data Science at Stanford University. This research opportunity
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Epidemiology Quantitative Sciences Unit Stanford Center for Biomedical Informatics Research (BMIR) Stanford University School of Medicine Does this position pay above the required minimum?: Yes. The expected
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and transplantation and to translate this knowledge into improved treatments. Required Qualifications: Individuals with a recent MD or PhD degree with skills in computational biology, bioinformatics
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alongside a team with expertise in flood modeling and collaborators in IIT Bombay. We encourage recent graduates with a PhD or equivalent degree from an epidemiology, biostatistics, data science, computer
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University is recruiting postdoctoral scholars with prior training in statistics, biostatistics, computer science, bioinformatics or a closely related area. Applications are invited from ambitious, independent
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science, computer science, health or environmental sciences, or environmental economics Experience with causal inference methods, especially fixed-effects regression A demonstrated interest in
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University. This research opportunity will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including bulk and single
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to significantly extend our existing team’s capabilities for data scoring and analysis (e.g., with expertise in natural language processing, machine learning, or computational modeling). Finally, the
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research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic disease. Key
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internal equity. Pay Range: 76,383-86,383 Our lab investigates the functional principles, development, and computational properties of organism-wide circuits for brain-body interactions. We