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Research (Associate) Professor in the Department of Clinical and Translational Sciences| (Non-Tenure Track , Position F1086A)


PayCompetitive
LocationNorfolk/Virginia
Employment typeFull-Time

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  • Job Description

      Req#: 22225_iY4tCN6zsZDl
      Employer Industry: Higher Education and Health Sciences

      Why consider this job opportunity:
      - Opportunity to join a pioneering research faculty focusing on AI-infused systems for healthcare
      - Engage in interdisciplinary collaboration with leading institutions and research teams
      - Chance to develop and maintain a vibrant, externally funded research program
      - Contribute to innovative solutions in remote patient monitoring and public health
      - Work in a supportive academic environment dedicated to advancing healthcare technologies

      What to Expect (Job Responsibilities):
      - Lead the development of data science, AI, and ML theories and applications in connected autonomous systems
      - Establish and maintain a successful externally funded interdisciplinary research program
      - Collaborate with faculty and data scientists across various colleges and research institutes
      - Focus research efforts on biomedical sciences, medicine, and public health
      - Engage with internal and external stakeholders to communicate research findings effectively

      What is Required (Qualifications):
      - Record of research and externally funded grants in relevant fields
      - Experience in data science, machine learning, AI, or biological engineering at an academic institution or national lab
      - Sustained publication record in relevant research areas
      - Ability to interact and communicate clearly with diverse constituencies
      - Commitment to developing innovative solutions in healthcare technologies

      How to Stand Out (Preferred Qualifications):
      - Previous experience in grant-funded research projects
      - Strong background in interdisciplinary collaboration within academic or research settings
      - Proven track record of successful research outcomes and publications
      - Familiarity with advanced imaging techniques and predictive modeling in healthcare
      - Interest in smart health facilities and early detection technologies

      #HigherEducation #HealthSciences #ResearchOpportunity #ArtificialIntelligence #MachineLearning

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