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interpersonal, initiative, teamwork, problem-solving, organization, communication (verbal and written), time management, project management, and presentation skills Proficient with computer applications and
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). Experience with human-factors instrumentation and data streams: eye tracking, physiological sensors, and motion capture. Familiarity with data/video coding tools and computer vision (e.g., OpenCV, scikit-learn
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written Communication Skills. Certificates/Credentials/Licenses M.D. or PhD Required Computer Skills General office suite, GraphPad-Prism, Endnote, Snapgene, and willingness to learn lab specific software
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Trustworthy AI Systems NSF Research Traineeship, the Digital Trade and Data Governance Hub, the Center for Machine Learning, and the Human-Computer Interaction Lab at UMD, and the Center for Equitable AI and
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; Standing, sitting, walking, talking or hearing. Manual dexterity and vision sufficient for standard laboratory and computer operations. WORK ENVIRONMENT: Lab environment. Moderate noise. Travel to various
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are the following: Conducts computer simulations of protein structure and computational protein design of small peptides and proteins. Synthesizes and characterizes peptide and protein designs. Structural and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
involves repetitive bench tasks such as pipetting, extended periods standing or seated at a laboratory bench, and extended periods at a computer workstation for data analysis. Reasonable accommodations will
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science -electrical or computer engineering -genomics -neuroscience -population genetics / genomics -sociology Expected Salary Range: Salary begins at $65,000/year and will be commensurate with experience
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, etc.) composites. Hands-on experience with lab scale polymer synthesis and analysis. Preferred Qualifications: Experience with computer modelling systems such as finite element analysis (FEA
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Yip and Dr. Nikolay Atanasov (Department of Electrical and Computer Engineering), and will also collaborate with co-investigators at Stanford University, UC Santa Barbara, Vanderbilt University, UNC