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Field
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Role: Research Assistant/Associate in RF and Experimental Characterisation of Microfabricated Electronic Devices Grade and Salary: Grade 6 - £31,236 - £36,636 / Grade 7 - £37,694 - £47,389 per annum
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has experience in sensor integration and dynamic experimentation, knowledge of piezo-electric or optical fiber based measurements, and proficiency in signal processing methods enriched with physics
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Processes (https://simap.grenoble-inp.fr ) - is a multidisciplinary laboratory with more than 200 participants from chemistry, physics, materials and fluid mechanics. It is one of the leading laboratories in
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the lab early in 2027 (depending on visa process). Website for additional job details https://6gmobile.fel.cvut.cz/open-positions/ Work Location(s) Number of offers available1Company/InstituteCzech
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electrode and electrolyte materials, characterize them, evaluate and improve them with respect to battery performance, and study fundamental chemical processes and properties using both experimental and
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(experimental) solid state physics. You obtained excellent results in your prior studies and are fluent in both spoken and written English. You are a team player who actively shares experience and knowledge with
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of magnetism in advanced materials. We are seeking to recruit a talented, enthusiastic young experimental scientist who is highly motivated to boost his/her research career in the area of nanoscience to join a
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2: An MSc degree in electrical engineering, applied physics, or a closely related field, with strong experimental academic results. A solid foundation in electrical measurement, power electronics
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(4) preprocessing and analysis of experimental data. Physical Demands and Working Conditions Physical Activities Working Conditions Additional Information Remote work is not available for this position
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 1 hour ago
co-pilot throughout the entire scientific process - from hypothesis generation and experimental design to biological interpretation and therapeutic innovation. Through a coherent integration of AI/ML