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to apply Website https://iventajobdata.eu/bestmedia/img/2502621/2003273/cl/147a658ff5227583c5e60… Requirements Specific Requirements Your personal sphere of influence: The Department of Behavioral and
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Biophysical and Biomedical Measurement Group - NIST | Gaithersburg, Maryland | United States | 14 days ago
radiological emergency response. This position is within the Biophysical Metrology and Inference program at NIST, which develops measurement approaches, physical models, and data-analysis methods that connect
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on neuroimaging. The successful candidate will participate in the design, simulation, construction, and experimental evaluation of advanced RF and electronic systems for biomedical imaging applications
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Department. Bachelor's degree in neuroscience, chemistry, biology, other biological science, or related field. 1 year of experience with C. elegans handling and experimental approaches. Additional
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can be directed to Professor Jasper Halekas, with the subject line “Experimental Space Physics Faculty Search.” To apply, please visit the submission website Jobs@UIowa at https://jobs.uiowa.edu/content
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examine how environmental conditions like temperature and ocean acidification influence their development and reproductive success. Key Responsibilities Experimental Research – 45% Support the setup and
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mechanical qubit. This project will involve collaboration with two experimental groups. The successful candidate must hold (or be about to defend) a PhD in theoretical physics, ideally with expertise in one
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to apply. Applicants who complement existing Duke MEMS strengths in aeroelasticity and unsteady aerodynamics, experimental and theoretical fluid mechanics, nonlinear dynamics and stability, and control
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Geo- Engineering (CEGE) at the University of Minnesota is a mid-sized department dedicated to conducting cutting-edge theoretical, computational, and experimental research in all areas related to Civil
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to take ownership of the full development cycle of next-generation heat exchangers, from generative design and numerical optimization to manufacturing, experimental validation, and performance assessment