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graduate training in mathematics, physics, computational sciences and related fields are strongly encouraged to apply; PhD research-equivalent MDs will be considered on a case-by-case basis). - Three years
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marketing plans for countries. Organize Student Faculty exchange programs: Invite the expression of interest from students and faculty for the program, select students and faculty for the program and aid in
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. Candidates must have: A PhD with a strong component in machine learning and deep learning (or a PhD defense planned for 2025), Research contribution in deep learning and application domains such as computer
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specialising in interdisciplinary topics, for example, candidates specialising in Machine Learning and Data Science, Quantum Computing, Theoretical Computer Science, Financial and Actuarial Mathematics
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), with two cross-cutting Themes (Basic and Clinical). The School is led by Professor Mauro Giacca and comprises over 65 clinical and non-clinical academic groups, hosting 400 personnel and 110 PhD students
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and the National Forestry and Grassland Administration, a national "Double First-Class" construction of universities and colleges, and also a Jiangsu high-level university construction peak program A
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within units and guide students to appropriate support services where appropriate. To be successful, you’ll have: PhD in Information Systems, Business Analytics, or a closely related discipline Excellent
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qualifications Educated to PhD level (or equivalent), or Master’s with research experience in materials science or chemistry A clear interest in open access publishing An interest in scientific research and
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, Finance and other Editorial colleagues. Experience, skills and qualifications: Educated to PhD level (or equivalent), or MS with research experience Clinical Medicine, Health Science or Biomedical Science A
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task forces and working groups. Represent the team in projects with Production, Sales, Marketing, Finance and other Editorial colleagues. Experience, skills and qualifications: Educated to PhD level (or