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Engineering offer a 4-year M20 (Ubbo Emmius) Program funded PhD position for a project titled “Grassroots retrofitting: Towards community empowerment and fair residential energy transition using community-based
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on the legal challenges technical industry is encountering when adopting AI in its processes. The successful candidate will carry out an analysis of how the European legal framework (including the AI Act, GDPR
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: Towards community empowerment and fair residential energy transition using community-based infrared thermography”. Residential buildings are major contributors to energy consumption and environmental
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related field. A keen interest in particle physics and data processing at high-energy physics experiments. A strong background in (experimental) particle physics and statistical data analysis is an added
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economic implications of AI adoption in the technical industry. This PhD position focuses on the legal challenges technical industry is encountering when adopting AI in its processes. The successful
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diversity at our university. We are committed to building a diverse community, so everyone is encouraged to apply. Our selection procedure follows the guidelines of the NVP recruitment code (https://www.nvp
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diversity at our university. We are committed to building a diverse community, so everyone is encouraged to apply. Our selection procedure follows the guidelines of the NVP recruitment code (https://www.nvp
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score of at least 237 on the computer-based form of the Test of English as a Foreign Language (TOEFL); or A score of at least 92 on the internet-based test of the Test of English as a Foreign Language
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at a fundamental level how nanomedicines, such as the lipid nanoparticles used to deliver RNA for the vaccines against Covid19, interact with and are processed by cells. The Department’s research
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manufacturing. As steel is highly recyclable its usage helps in creating a more sustainable world. For simulations of industrial processes concerning such complex materials one must typically rely on continuum