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a flexible work environment. We expect High attention to detail, structured working style Basic knowledge of Environmental Product Declaration Basic understanding of construction materials and
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and profound knowledge in scientific research and group work. About the division The Marine Technology division carries out fundamental and applied research to enable the development and improvement
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transportation development. It also provides an excellent educational environment to gradually develop competence and profound knowledge in scientific research and group work. About the division The Marine
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have a strong background and interest in mathematics, as evidenced by excellent course grades and undergraduate thesis work. Good knowledge of functional analysis is required *for students with
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with machine learning or artificial intelligence methods with applications in chemistry Experience with and/or knowledge about quantum chemistry and computational chemistry tools Experience from academic
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research position. The project assistant will apply their biomedical and AI knowledge to conduct a feasibility study developing AI tools to predict properties of lipid formulations for drug delivery
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the scope from only tail-pipe emissions to include also brake wear emissions. There are many knowledge gaps to reach a zero-emission transport sector. An interdisciplinary approach is needed including
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for an equitable, resource efficient, and circular built living environment", funded by the Swedish Research Council Formas. The project aims to develop knowledge and a methodology on how to better utilize, broaden
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architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit
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). Qualifications The candidate must have a PhD in mathematics. In addition, knowledge of classical L2-methods in complex analysis and pluripotential theory is required. Familiarity with multivariable residue theory