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; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding. POSITION
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 2 hours ago
-dimensional wind vectors. These key meteorological measurements enable our understanding of atmospheric dynamics, chemistry and microphysical processes. MMS measurements are critical for investigating a variety
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the next generation of molecular assays and point of care collection devices. We are seeking a scientist who is self-motivated, well organized, and experienced working with biological samples. The ideal
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, international research community with access to state-of-the-art facilities Responsibilities and qualifications In this position you will focus on the biochemical and biophysical characterization of enzymes
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have a passion for multidisciplinary research and (i) expertise in EEG acquisition, signal processing and data analysis (ii) experience coding, preferably with Python (iii
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. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include: Strong background in communication theory, signal processing
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hub investigating the critical roles of ion channels—particularly the TRP superfamily—in physiological and pathological processes. Our interdisciplinary approach spans from foundational
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closely with senior members of the research group. The term of the positions is typically two years, with the possibility to renew for the 3rd year, contingent on the project process and availability
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great place to work. Application Process Applications for this vacancy are to be made online via www.recruit.ox.ac.uk and Vacancy ID 181466 . You will be required to upload your curriculum vitae and a
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critical roles of ion channels—particularly the TRP superfamily—in physiological and pathological processes. Our interdisciplinary approach spans from foundational electrophysiology to translational models