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Status: Open Applications open: 16/06/2025 Applications close: 12/09/2025 View printable version [.pdf] About this scholarship Description/Applicant information Disclaimer Information
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quantitative magnetic resonance imaging David Black Doctor of Philosophy in Electrical and Computer Engineering (PhD) Novel approaches to teleoperation and human computer interaction in medical robotics Kate
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contributions, and potentially co-author publications. It is particularly well-suited for students who are considering pursuing a PhD or an academic career after graduation. We welcome applications from all
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will be based in the School of Biosciences; Previous experience working with samples and data databases related to BBRCVA is required. This position is full-time (35 hours per week) and fixed term
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, Bioengineering, Life Science and Medicine, Microbiology, Information Science, Pharmacology, Chemistry or Applied Chemistry. Postdoctoral Researchers: Candidates holding (or soon completing) a PhD degree with
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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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of this position will include publishing data from a recently completed NIH-funded study of the context and behaviors within incidents of family aggression and violence, and assisting with grant writing activities
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. The applicant will be expected to recruit graduate students (from the interdisciplinary Genome Science and Technology Program) by year 3. A competitive startup package including support for PhD students and
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. For more information and to apply visit Commonwealth PhD Scholarships . Fulbright New Zealand offers a range of exchange awards for New Zealanders and Americans wanting to study, research, teach or present
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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