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monitoring data and new data collected within the project. Areas and time periods with different abundances of herring will be used to investigate the role of herring in the coastal ecosystem, as prey
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(LES). Strong knowledge in the analysis of large DNS and LES datasets, and the ability to use this data to develop reduced-order models for combustion simulations. Strong analytical skills and a proven
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computer. The WACQT team at Chalmers currently has about 100 members (faculty, permanent research staff, postdoctoral researchers, PhD students, and undergraduate students). WACQT is committed to promoting
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Excellence Centre for Computational Social Science (SweCSS), which is a joint initiative between the Institute for Analytical Sociology (IAS) and the Department of Computer Science (IDA). SweCSS researchers
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, fitting to the project plan. Your profile The candidate should have a PhD degree in natural resource economics or a similar subject. Proven experience in data analysis of markets related to natural
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located at the Uppsala Biomedical Centre campus. It belongs to the Faculty of Science and Technology and conducts research in biochemistry, organic chemistry, analytical chemistry, and physical chemistry
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Excellence Center for Computational Social Science (SweCSS), which is a joint initiative between the Institute for Analytical Sociology (IAS) and the Department of Computer Science (IDA). SweCSS researchers
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PhD in computer science (or related) with applications to biology, or a PhD in Biology, with a solid component of computer science. Contact Information Project D Stéphane Verger, Department of Plant
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for this project The selected candidate must have: A PhD in Chemistry, Physics, or other fields deemed relevant to the project, with experience in at least one of the analytical techniques described in the project
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addition, you should meet the following requirements: Hold a PhD degree in biology, ecology, analytical chemistry or equivalent Educational and professional qualifications relating to the scientific area of