537 algorithm-development-"Multiple"-"Simons-Foundation" "Prof" positions at University of Virginia
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on highly complex technology, algorithm development and data management and analysis. CDT is a recognized world leader in the technological treatment of diabetes and the hub of an international research
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will apply state-of-the-art machine learning algorithms and custom disease-relevant genomic datasets (e.g., coronary artery single-nucleus chromatin accessibility and RNA sequencing) to develop targeted
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assists in experiments for the Infectious Diseases Division the laboratory of Prof. Steven Zeichner, MD, PhD. The goal of the lab is to study infectious disease pathogenesis and work to develop new
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direction, training and performance management to ensure a high level of accuracy, timeliness and professional development. • Ability to work independently with a high degree of reliability, accuracy, and
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submission to journals and conferences. Present research findings at seminars, conferences, and scientific venues. Develop innovative and robust machine learning algorithms to personalize interventions
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processing. The successful candidate will develop and apply novel in-situ and ex-situ (primarily electrical biasing) studies on multilayer thin film structures. Strong technical expertise in TEM specimen
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procedures, such as OSHA, federal, state, and local regulations. Develop an increasing familiarity with the skills and best practices of the Heating Plants. Actively participate in classroom and on-the-job
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. For further details on research in the Sonkusare lab, please visit: https://www.cvrc.virginia.edu/Sonkusare/index.html . The incumbent will participate in a multiplicity of relevant lab projects and in writing
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Supervisor will adhere to prescribed algorithms and guidelines for making staffing decisions. As Incident Commander for Emergency Management the SRO Nursing Supervisor will coordinate the dissemination
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responsibilities related to developing, designing, and conducting increasingly complex research projects. They perform complex tasks independently. They have the authority to adapt methods and procedures to meet the