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modelling at both catchment and road scales, incorporating input from relevant stakeholders.The candidate will gain extensive knowledge in hydrological modelling, climate adaptation, road engineering, and
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Galileo missions and the Hubble Space Telescope. This project uses computer simulations to study plume-plasma interactions and compares results with spacecraft data. The project leader is Associate
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variability in risk factor susceptibility, treatment response, disease pathogenesis, and clinical diagnosis (biostatistics, machine/deep learning), ii) Investigating causal processes and disease mechanisms
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of small cryptic plasmids in the development and spread of antibiotic resistance, and ii) Use machine learning tools to examine the complex interplay between bacterial hosts, various plasmids and resistance
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application! We are looking for one or two PhD students in Multiagent Automatic Control at the Information Coding Division (ICG), which is based at the Department of Electrical Engineering (ISY). You will be
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, you must have: A master's degree corresponding to at least 240 higher education credits in Engineering Physics (F) or Electrical Engineering (E); good communication skills; the ability to work in an
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senior researchers, three postdocs and three PhD students. It is embedded in an interdisciplinary environment where we have close collaboration with other research teams at Chalmers such as technology
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for protein structure and function determination (e.g., X-ray crystallography, NMR, cryo-electron microscopy). You will learn how to use advanced bacterial culture conditions to grow the species of the human
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, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and collaborations with experimental
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. Read more about WIFORCE here www.slu.se/en/wiforce SweTree Technologies AB SweTree Technologies is a research and technology development company within the area of plant and forest biotechnology