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aluminium through AI-driven microstructural analysis. About us The PhD candidate will work at the Division of Data Science and AI , in the neuro-symbolic research group. This group works with combinations
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Join us for an exciting and excellent PhD journey! Everyday user behaviour may affect the environmental performance of household appliances, yet it is often overlooked in environmental assessments
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RAM3 . The aim of the project is to enable the broad application of recycled aluminium in high-value products produced through mega-casting. The main goal of the PhD project is to develop high-throughput
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engineering challenges. Currently, three postdocs and about 15 PhD students are working within our main research areas: Lightweight materials and structures, multi-phase and metallic materials, Process modeling
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function Data analysis. Main responsibilities Conduct research within the PhD project (>80%) Publish scientific articles and present at conferences Contribute to departmental teaching or other duties (<20
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-scale GAC filter data to aid in system understanding, design, and optimisation. Main responsibilities Conduct research within the PhD project (>80%) Publish scientific articles and present your work
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skills and knowledge while contributing to a more sustainable future through tomorrow’s manufacturing technologies. Information about the department The main competences at the Department of Industrial and
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teamwork Maritime sector or marine management Fieldwork and sampling at sea Swedish language skills (spoken and written) Your tasks As a PhD student, your responsibilities will include: Planning and
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This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD
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We invite applicants to join our team of researchers within the area of maritime environmental science. We are looking for a PhD student to work on cumulative risk assessment of shipping pressures