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Requirements: Preferably PhD in computer science or related field. Expertise in computer programming Knowledge in machine learning Proven research ability as evidenced through a portfolio of publications and/or
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Research Fellowship (PRF) for PhD MSE Program Location Rio Grande Valley, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science / Mechanical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
development issues. Minimum Education and Experience Requirements PhD in Biostatistics, Bioinformatics, Data Science, Pharmaceutical Sciences, Computer Science, Regulatory Science, or related fields. Required
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and postgraduate students. The School is also responsible for the supervision of ~120 PhD students, reflecting research strengths and expertise in the disciplines of Animal Biology, Computational
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applications. Mentor junior researchers and contribute to a collegial lab environment. Qualifications and Requirements PhD in Molecular Biology, Genomics, Cancer Biology, or a related field. Strong background in
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: A PhD degree in business, computer science, informatics, social sciences (preferably sociology, psychology, or economics), public health or a related field is required and must be conferred by
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. Person Specification PhD (or near to completion or equivalent experience) in a relevant field, including statistics, mathematics, computer science, epidemiology. Strong mathematical and quantitative skills
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: 24th August 2025 Background A post-doctoral research fellow position is available in the Fungal Immunology Group within the Institute of Immunology & Immunotherapy, College of Medical & Dental Sciences
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disciplines within the social sciences. The emphasis of the programme is organizational and work life studies: Organisasjon, ledelse og arbeid (master) – Universitetet i Oslo (Norwegian only). Integral
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of Psychology and Language Sciences (www.ucl.ac.uk/pals ) within UCL’s Faculty of Brain Sciences. The Department offers outstanding resources for research into language development, assessment, and intervention