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Field
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mentorship and guidance to junior staff Present findings and updates to internal and external stakeholders Qualifications: Master's or PhD in Data Science, Computer Science, Statistics, or a related field, or
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temperature changes; humidity and the formation of clouds and precipitation; stability of tropospheric air layers; applications of adiabatic charts. Job Description: Prepare formal lectures and lead class
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to laboratory and biostatistical staff, assisting with project-related tasks as needed. You must hold a PhD either in Bioinformatics, Statistics, Mathematics, Computer Science, or a related computational field
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of research. We currently offer a BSc (Hons) in Computer Science, delivered on campus. We also have active PhD students in this area. About you: Candidates for the Lecturer in Computer science position should
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-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud. Pay and Benefits Pay Range: $50,000 - $55,000
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with experience in ligand discovery. Our research group is focused on developing state-of-the-art computational methods for ligand/drug discovery, using machine learning, high-performance/cloud computing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
requested or required to support the work of the research project. Minimum Education and Experience Requirements PhD in one of these fields: Computer Science, Data Science, Biomedical Informatics
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written instructions. MS or PhD. Demonstrated experience with high-performance computing environments and cloud-based genomic analysis. Demonstrated experience and expertise with multi-omic dataset queries
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School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud. Apply for Job
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular