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of professionals. Duties to include: Support electrospinning research in the lab of two PhD students, by generating fibers, modifying the spinner platform and performing mechanical testing Performs data collection
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postgraduate qualification in health or social sciences or similar e.g. MSc or PhD Experience in methods of inclusive co-production Experience of coordinating a network for research or public engagement
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of professionals. Duties to include: Support electrospinning research in the lab of two PhD students, by generating fibers, modifying the spinner platform and performing mechanical testing Performs data collection
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for engineering-driven AI innovation. Ideal candidates will have: (1) A PhD in Management Science and Engineering, Computer Science, or a related discipline, with a focus on AI/ML theory, algorithms
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and knowledge transfer activities; and (d) contribute to other administrative duties as required by the supervisors. General Requirements Candidates should have obtained / been conferred a PhD degree or
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/or ethics of risk. Candidates should have a PhD in Philosophy (or related disciplines) by the start of the appointment and a record of publications in Philosophy, preferably in leading journals
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to encourage the pursuit of the PhD in the humanities and humanistic sciences. Throughout the year, the MMUF program aims to give students the practical information and intellectual skills they need to succeed
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work Desirable Criteria 1. Postgraduate degree at PhD level (or nearing completion / submission) in a related subject area or relevant industrial experience 2. Evidence of collaborations with
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
@ecu.edu ). Contingent upon the availability of funds Minimum Education/Experience PhD (or equivalent degree) in Biomedical Sciences, or a closely related field. Hiring at the Assistant Professor rank will
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science. Preferred Qualifications Enrollment: Must be a current graduate student (Master’s or PhD) in a relevant field (e.g. Computer Science, Data Science, Learning Sciences, Educational Technology, or