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this overlooked impact. The turbulent wake governs spreading of pollutants from ships, influence the air-sea gas exchange, and may act as a barrier, affecting connectivity in the marine ecosystem. There is an
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%) Complete coursework relevant to the PhD program Your profile Required qualifications MSc degree in Environmental Engineering, Chemical Engineering, Civil Engineering, Biotechnology, or a related field
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The department includes about 115 people of which 9 are professors. Our mission is to advance the understanding of forest ecosystems and how these should be managed today and in the future. For more
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of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and study programmes to match the skills in demand. We hope that you will help us to
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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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departmental duties, up to a maximum of 20% of full-time. Your qualifications We are searching for someone with a Master’s degree in computer science, media technology, computer engineering, human-computer/robot
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of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and study programmes to match the skills in demand. We hope that you will help us to
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) and Dr. Susanne Winiwarter (Principal Scientist) at AstraZeneca, and Dr. Rocío Mercado Oropeza (Assistant Professor) at Chalmers, within a cross-functional and dynamic research environment. This is a
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Join the cutting-edge RAM³ project: Unlocking the Potential of Recycled Aluminium through Machine Learning, High-Throughput Microanalysis, and Computational Mechanics. We are offering a PhD position
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the role of forests in climate change are now key social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program