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Field
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. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include: Strong background in wireless communication systems and
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Postdoc SafePathways: Cross-Cultural Insights and Co-Designed Concepts for Schoolchildren's Mobility
essential. A PhD degree in one or more of the following disciplines: urbanism, architecture, urban studies, urban planning, human geography, transport studies, or a related discipline. A strong interest in
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major step-change in photovoltaic efficiency. New devices architectures, concentrator PV, quantum cutting, hot-carrier collection and photon transport, will be explored and enabled by absorber materials
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the computer science research conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings
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photovoltaic device concepts and paradigms, enabling the next major step-change in photovoltaic efficiency. New devices architectures, concentrator PV, quantum cutting, hot-carrier collection and photon
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-renowned research institute and work closely with PhD students, PostDocs, software engineers and faculty members on developing cutting-edge AI ready data management. We’re working on extending and
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applications, (2) design and architecture of integrated, hybrid, atomistic simulation software packages (e.g., LAMMPS) and DL models, and (3) documentation, verification and validation, and software quality
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Postdoc SafePathways: Cross-Cultural Insights and Co-Designed Concepts for Schoolchildren's Mobility
Verbal and written working proficiency in Dutch and English is essential. A PhD degree in one or more of the following disciplines: urbanism, architecture, urban studies, urban planning, human geography
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The Sydney School of Architecture, Design and Planning is seeking a Postdoctoral Research Associate to join its dynamic team. This appointment is funded by The Sydney School of Architecture, Design and
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learning, with a focus on novel optimization techniques and memory architectures. Advancing the reasoning capabilities of large language models (LLMs). Developing methods to improve the safety and robustness