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. The ASE integrates earth and environmental life science, ecology, engineering and technology, human ecology, humanities, and the social sciences to address key issues of the environment and sustainability
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of Czech Literature of the Czech Academy of Sciences (ICL) announces an open call for candidates to apply to the Programme to Support Prospective Human Resources – Postdoctoral Fellows (PPLZ). Candidates
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that will define the CNRE. CNRE research is both computational and experimental; we work on exciting problems in diverse areas such as bio-fluid interactions, signatures, wave energy, advanced materials
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(FEDER), under the following conditions: . SCIENTIFIC AREA: Biomedical Engineering . RECIPIENTS: Graduates in Materials Engineering, Chemical Engineering, Biomedical Engineering, Bioengineering
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Research Fellow (Fusion Shielding Materials) - School of Metallurgy and Materials - 105638 - Grade 7
Position Details School of Metallurgy and Materials, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally
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foundations of AI, systems, software, and services, and diverse applications, including semiconductors, materials, manufacturing, business processes and supply chains, agriculture, life sciences and medicine
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. www.tuni.fi/en The Physics Unit at the Faculty of Engineering and Natural Sciences at Tampere University is inviting applications for a postdoctoral research fellow position in computational materials physics
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and presenting Job Requirements: PhD degree in Artificial Intelligence, Computer Science, Software Engineering Strong background and research experience in artificial intelligence, software engineering
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or machine learning to complex data. The successful candidate will have (or be nearing completion of) a PhD in a relevant field such as polymer science, materials engineering, or mechanical engineering
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and Applied Sciences Department/Area Electrical Engineering/Computer Engineering/Computer Science Position Description Project Deep learning plays an essential role in the operation of an autonomous