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with H2 generation from electric power. Qualified candidates will have a strong quantitative background in a relevant discipline (e.g., environmental engineering, Earth sciences, climate economics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
the start date, a PhD in Data Science, Computer Science, Electrical Engineering, Electrical and Computer Engineering, or a closely related field. The applicant’s research should focus on machine learning
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for internationally recruited employees with their transition to work and life in Finland. For more on the University of Helsinki as an employer, please see https://www.helsinki.fi/en/about-us/careers
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that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply
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Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees
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fabrication of electrical circuits) and conceptual (designing experiments, and planning of future research strategies). In the lab, you will pursue the development of high-impedance and/or protected
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- $74,140. The posted UC academic salary scales set the minimum pay determined by rank and/or step at appointment. See the following table for the salary scale for this position [(https://www.ucop.edu
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of artificial intelligence and robotics. The postdoctoral researcher actively participates in the research, teaching and administration of this group. Further information can be found here: https
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sessions of counseling at no cost How To Apply Application instructions: Applications and all supporting materials must be submitted electronically through MathJobs (https://www.mathjobs.org/jobs/list/28797
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clinical translation potential. Research Focus Current research programs include: Therapeutic peptide vaccines targeting PD-1, CTLA-4, TIGIT, IL1RAP, HER-2/HER-3, VEGF, and other immune and tumor-associated