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Field
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Technology, The University of Nottingham. Applicants are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The
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. Experience: Conducting field, computer, web-based, and interpersonal interaction-based experiments. Preferred Competencies Familiarity with methods of experimentation. Implement creative and innovative
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demonstrated a proven record of accomplishment in high-quality research, as reflected in high-impact publications and the potential to build a sustainable, externally funded research program. Preferred
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candidates with a background in meteorology, climatology, physics, and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world challenges in the area
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their program of research toward becoming an independent scholar. Essential duties include: Prepare individual development plan and form a mentorship team based on goals and interests Lead research on focused
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of grades, please submit alternative documentation of your enrollment and progress in the degree program, as well as a written statement that you are unable to provide an official transcript of grades
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responsible for performing high level laboratory procedures relating to the laboratory’s ongoing program and completing documentation of experimental data in a timely fashion. Assists with monitoring inventory
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-TEM. · The Department of Biochemistry provides a rich intellectual environment, with research in structural biology (cryo-EM, X-ray crystallography, NMR spectroscopy), and computational biology
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project management on a large clinical trial. Required Qualifications: A Ph.D. in health services research, health outcomes, epidemiology, health economics, health informatics, biostatistics, or a closely
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Open PhD position: Autonomous Bioactivity Searching Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 42-month funded PhD studentship will contribute to cutting-edge advancements in automated drug discovery through the integration of high data-density...