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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
materials research group led by Dr. Mengen Wang is seeking a postdoc researcher to work on computational materials and machine learning-driven materials discovery. The postdoc researcher will perform DFT and
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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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well with a diversity of faculty, staff, and students from a variety of disciplines within and outside the University. Excellent computer skills, including Excel and Word, and the ability to learn new
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graduate students. Assist with hosting Institute visitors and supporting IQSE-sponsored activities. Qualifications PhD in Physics, optics, or photonics. Applicants should have a proven record of research in
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students. Assist with hosting Institute visitors and supporting IQSE-sponsored activities. Qualifications PhD in Physics, optics, or photonics. Applicants should have a proven record of research in
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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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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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. This tool takes 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
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background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong knowledge in bioinformatics, machine learning