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are seeking applications from individuals with a PhD in any one area of engineering such as: aerospace, chemical, civil and environmental, computer science and software, electrical and computer, industrial and
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. Proficient in oral presentation and paper/grant writing. Certificates/Credentials/Licenses PhD in Biomedical Science, Immunology, Regenerative Medicine, Biology of Aging, or a related field. Computer Skills
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other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being. Learn about NREL’s critical
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into account all of the benefits that you are eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please
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data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our
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record, and available funding. Education Requirement: A PhD degree (or about to complete) in machine learning, or a closely related field, is required. Required Qualifications: Practical experience in
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professional deliverables ● Experience with causal inference, machine learning, and artificial intelligence is desirable ● Experience with clinical, EHR, or biobank data analyses is desirable
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collaborative setting that emphasized functional genomics and high-dimensional omics data analysis. The lab is a part of the NGI, home to experts in genetics, multi-omics, machine learning, and clinical research
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the use of R and/or Python Basic understanding of statistical modeling, and machine learning Understanding of high-throughput sequencing techniques including whole genome, whole exome, targeted capture, RNA