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range for this position is $55,000-$63,500. 'Off scale' salaries, which yield compensation that is higher than the published system-wide salary at the designated rank and step, are offered when necessary
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to the development of wireless sensor systems for Structural Health Monitoring (SHM) applications. The role focuses on mechatronic system development, with strong emphasis on electronics, embedded systems, and
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on the design and modelling of ultra-high voltage IGBTs, thyristors, and SiC devices for HVDC and energy systems. Embedded within the EPSRC Rewire network, the project strengthens UK capability in high-voltage
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the full marketing and communications planning cycle, embedding strong processes, evaluating performance and driving quality, cohesion and innovation across the function. You will also oversee
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6 Mar 2026 Job Information Organisation/Company Nantes Université Department CEISAM UMR-CNRS 6230 Research Field Chemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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California State University, San Bernardino | San Bernardino, California | United States | about 7 hours ago
Hour CSU Salary Schedule: https://www.calstate.edu/csu-system/careers/compensation/Pages/salary-schedule.aspx A background check (including a criminal records check) must be completed satisfactorily
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About us: This Computational Biologist post forms part of the CRUK City of London Centre and is based within the School of Cancer & Pharmaceutical Sciences at King’s College London. The successful
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Research and -Health at the Faculty of Health and Medicine: Early-Stage Researcher – PhD Student (m/f/d) 30 hrs./week Advertisement No. SB26-0048 Project Background: The PhD position is embedded in a third
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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having
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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having