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Engineering, Electrical Engineering, Informatics, Computer Science or equivalent or you will have obtained it by the time you start. You can demonstrate excellent study results (as a minimum requirement
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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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polymers), hydrogels, and covalent organic frameworks (COFs). One project involves an original system that harvests water energy from nature (e.g., rain and rivers) and directly generates electricity by
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congestion challenges for electricity distribution grids. At the same time, effective planning depends on access to data from multiple stakeholders - including municipalities, distribution system operators
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form of energy–e.g. electrical, magnetic, acoustic, or chemical–into mechanical motion. These swimmers are expanding the frontiers of micro-engineering and can be used in tasks such as chemical analysis
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characterize their electrical, electrochemical, optical and mechanical properties and investigate the integration of printed hydrogel structures with microfabricated electronic platforms. Later, you will use
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experiments and policy-capturing methods may be used to compare interviewer judgements with evidence-based outcome measures. The project will also explore machine-learning, multimodal data analysis, computer
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(fulltime) for Research Doctorate (PhD) studies Remuneration: The successful applicant will receive A Research Living Allowance, at current value of $37,145 AUD per annum for PhD (2026 rate with annual
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Generative Artificial Intelligence (GAI) is rapidly transforming higher education, yet most current GAI systems are designed to support individual productivity rather than collaborative learning
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collaboration with internal and external partners, predictive models including machine learning (ML), materials thermodynamics, etc. for high-throughput identification and screening of advanced materials for gas