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https://www.ntu.edu.sg/erian This Candidate will be working on a renewable project to support projects on energy storage sizing, integrating distributed energy resources, renewables, and other advanced
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to one or more of the following areas: Renewable energy systems and photovoltaic technologies Smart grids and power systems Battery energy storage systems Artificial intelligence and machine learning
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PhD position in Economics as part of the renewed RESA Chair, dedicated to studying the future of natural gas networks in the context of the European energy transition. JOB DESCRIPTION The PhD candidate
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. The successful candidate will contribute to ongoing research activities under the supervision of senior researchers. The position may also serve as a pathway toward doctoral studies (PhD) and progression
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to renewable energy sources. Thermodynamic cycles (power generation cycles, refrigeration cycles, heat pumps) play a central role in this transformation, but their optimal design remains a complex scientific
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such as the Sustainable Energy Transitions Initiative (SETI). Prerequisite Qualifications: - PhD in economics, environmental and/or resource economics, public policy, environmental policy, or a related
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | about 11 hours ago
support from FEDER and national funds through FCT, I.P., under the following conditions: Scientific Area: Energy Admission requirements: Holders of a PhD degree in Electrical and Computer Engineering, Civil
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model is preferred. The selected candidate will work in the ATLAS experiment at the Large Hadron Collider. The appointment will be for two years, with the possibility for renewal, subject to mutual
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as part of a team of inter-disciplinary researchers focused on the renewable energy and power systems. Undertake high-quality research/scholarly activities under limited supervision either
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Renewable Energy Systems (ARES) Group of EEWRC Centre on a full-time basis (100% FTE) for its premises at Athalassas Campus. The successful candidate will contribute to the group’s computational research