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Field
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Experience Appropriate doctoral degree Preferred Qualifications PhD in Biology, Genetics, Microbiology, Host Pathogen Interactions, Cellular and Molecular Biology, or related science. Laboratory research
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License or Certification Required by Statute or Regulation None Preferred Experience, Skills, Training/Education PhD in Applied Mathematics, Statistics, Biostatistics, Data Science, Computer
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
have a PhD, DrPH (or equivalent) in statistics, biostatistics, computational biology, or a related quantitative field. Required Qualifications, Competencies, and Experience Background in causal inference
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer
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academia, participate in the University’s Individual Development Plan policy for postdoctoral scholars, have a PhD or equivalent terminal degree (such as MD, DVM, PsyD, PharmD, etc.), and candidates should
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The Opportunity: Conduct research in Natural Language Processing (NLP), Computer Vision, and Artificial Intelligence (AI), with the goal of publishing in top-tier conferences such as CVPR, ICCV
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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is an
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The applicant must: hold a PhD in a relevant field (e.g. computer science, artificial intelligence, machine learning, computer vision, animal science, biology, veterinary medicine, or a related discipline) have
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directions, participate in securing funding, andco-create the long-term vision of the centre. KEY RESPONSIBILITIES Technology & Platform Development 1. Design and optimise scalable technology platforms and
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of knowledge, experience, skills, talent and abilities required for the role as outlined below and must satisfy all of the essential criteria: Essential A PhD or equivalent in Computer Science, Engineering or