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43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Are you excited about sustainable
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on Data Science for Construction Productivity. The researcher's responsibilities will include
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that merge thermo-fluid dynamic laws, deep learning, and experimental data. A central goal is to overcome current limitations in TES operation and optimization, enabling discovery of new high-performance and
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for 1 PhD students to work in a project
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impacts. In the Netherlands, approximately 6 million homes built before 2005 have poor thermal performance, with energy labels of E or lower. Retrofitting these homes is critical for achieving low-carbon
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Pay Grade/Pay Range: Minimum: $15.48 - Midpoint: $18.56 (Hourly N2) Department/Organization: 214271 - Mechanical Engineering Normal Work Schedule: Varies Job Summary: The Research Assistant I
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strengthen the data science and machine learning activities of the IAS-9 with exciting new topics. You will work in a multidisciplinary team of enthusiastic data scientists, software developers and domain
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from building-integrated photovoltaics to solar-powered greenhouses and aerospace technologies. However, despite significant progress, OPVs still face limitations in long-term operational stability
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for Cognition, the Behavioural Science Institute, and Radboud Social Cultural Research. Radboud University At Radboud University, we aim to make an impact through our work. We achieve this by conducting
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bench (optical, electronic and mechanical) and multiphysics analysis using high-performance on-site instruments (optical spectrum analyzer, 3D intensity profile, wavefront, RF spectrum, field polarization