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top international journals. Your Profile PhD in Materials Sciences, Physics or equivalent Prior experience with high-pressure torsion, mechanical testing, scanning electron microscopy, focused ion beam
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alternatives such as HBI, DRI, and scrap. These changes introduce new challenges in maintaining furnace stability, gas flow, and productivity. This PhD project focuses on developing and applying advanced
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 6 days ago
: Hannah Alpert hannah.s.alpert@nasa.gov (650) 448-4785 Questions about this opportunity? Please email npp@orau.org Qualifications The successful applicant should have a PhD in a science or engineering
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full-time/part-time post is available from 13th October 2025 and is fixed term for 2 years in the first instance with the possibility to extend for a further 3. About you You will hold a PhD/DPhil (or
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to communications that showcase UK expertise. Candidates should hold a PhD (or be close to completion) in a relevant discipline such as environmental or chemical engineering, sustainability, policy studies
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comfortable working alone in the field, often in inclement weather. From time to time the candidate will be expected to contribute to other projects (e.g. fieldwork, lab work). You should have a PhD in peatland
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interdisciplinary researchers in materials science, chemical and environmental engineering. Contribute to mentorship of students and lab group discussions. Minimum Qualifications: PhD in Chemical Engineering
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for this position: (nearly) completed PhD and an excellent (early career) track record in publishing research findings in recognized scientific journals in the field of cognitive psychology, cognitive science
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PhD in Biological Sciences or a related discipline Preferably, prior professional experience as a Postdoctoral Researcher Proficiency in cell culture techniques, ideally including 3D cell culture models
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/PhD in a mathematical branch of study Solid knowledge of one of the following fields: mathematical methods, analysis and numerics in imaging, inverse problems or data sciences Ability to integrate