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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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including dynamical and cosmological horizons, gravitational entropy, Noether charge methods, holographic coarse-graining, chaos, black hole heat engines and quantum field theory in curved space-time. These
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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completed all requirements for a PhD in building sciences, engineering, architecture, urban planning, energy or regulatory economics, public informatics, or a related field prior to being hired
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-completed PhD (within the last 0-5 years) in field of materials science, chemistry, chemical engineering, or a related field A research background in energy storage systems Experience with in-situ and
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for innovation, strong communication skills, and the ability to work both independently and collaboratively are encouraged to apply. Required Minimum Qualifications: PhD in Chemical Engineering
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. Current PhD students who will graduate by summer 2026 are encouraged to apply. Applicants with prior experience in mammalian cell culture, mouse models, or bioinformatics are preferred. People seeking dry
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We’re looking for a candidate with: A PhD degree, in chemical engineering, applied chemistry or similar Proven experience in working with electrochemical systems Proven lab skills Experience with
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engineering, molecular cloning, genomics, and computational data analysis workflows. In addition you: have obtained, or are on track to obtain, a PhD with first or co-author publications/preprints in
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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