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-based algorithms (e.g., GNNs, deep reinforcement learning) design and simulate dynamic models of megaproject systems prepare and submit journal articles to high-impact publications contribute
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learning at scale. Research directions include designing algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating
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researchers and PhDs on optical low-adhesion coatings. Within the team, you will be given the opportunity to expand your research skills and experience and to grow in your career as a mentee and a mentor, and
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education-focused space. Selection Criteria: a PhD in an arts, social sciences, or a higher-education specialisation experience in partnership-based research and teaching engagements with industry
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sciences. The applicant must also demonstrate an interest in educational leadership, consistent with their aspiration to build a career in the education-focused space. Selection Criteria: a PhD in an arts
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creating a safe and supportive environment for students and staff a plan to complete a PhD or DMA in a relevant area a PhD or DMA in a relevant area (desirable) experience supervising honours and
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for students and staff a plan to complete a PhD or DMA in a relevant area a PhD or DMA in a relevant area (desirable) experience supervising honours and postgraduate students (Masters, DMA, PhD) (desirable) a
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physics. SciGEM offers a vibrant, collaborative environment with a team of a dozen academics, several postdoctoral researchers, and around 20 PhD students. You will benefit from their collective expertise
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at the Camden campus. The successful candidate will be a veterinarian with a PhD in Animal or Veterinary Science who is strongly connected with industry (small ruminants) through their research, education and
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Associate Professor (Education-focused) position in Small Ruminant Health and Production to be based at the Camden campus. The successful candidate will be a veterinarian with a PhD in Animal or Veterinary