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in Astronomy, Biology, Computer Science, Chemistry & Materials, Data Science & Scientific Computing, Earth Science, Mathematics, Neuroscience, and Physics in a world-class research environment
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
on integrated GRMs. The successful candidate will hold a PhD (or be close to obtaining) in Applied Physics, Material Science, Nanotechnology, Chemistry or Electrical Engineering with experience in photonics
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the Department of Computer Science and Technology at the University of Cambridge. The position will be for 12 months from the 2nd February 2026 in the first instance. Project research topics must fall under
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to device design, control, and evaluation The ideal candidate will lead their own project, and support the engineering efforts for several PhD student led projects. Qualifications MS in Mechanical Engineering
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
. Responsibilities and qualifications Your overall focus will be to establish and lead a strong research program in the field of synthetic biology and metabolic engineering of non-model microorganisms, with the aim
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Department Electrical and Computer Engineering Rank Research Assistant Professor Position Summary The Department of Electrical and Computer Engineering at The University of Alabama is recruiting a
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/Computer/Mechanical/Materials/Nuclear Engineering or related discipline. • Excellent foundation in materials processing • Hands-on experience with device and system characterization. • Experience in
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combination of education and experience Position Description: The University of Louisville Chemical Engineering Department is seeking a Temporary Engineering Senior Researcher. We are seeking a highly skilled
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, environmental engineering/science, computer science, industrial or mechanical engineering, and decision science. The successful candidate will contribute to ongoing NSF-funded research projects during the initial
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission