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future. The Department of Mathematical Sciences at Chalmers University of Technology and the University of Gothenburg has about 200 employees and is the largest department of mathematics in Sweden
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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
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Description of the workplace Automatic Control is an exciting and broad subject, covering both deep mathematics and hands-on engineering. Historically it has been instrumental in many areas, from
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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
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The Department of Mathematics and Mathematical Statistics, Umeå University, invites applications for a two-year postdoctoral fellowship in data-driven analysis of a subarctic ecosystem near Kiruna
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We are delighted to announce the availability of an exciting position for an early career researcher with expertise in marine ecology and statistical analysis to contribute to our research on aquatic resources in the Baltic Sea. About the position This is a postdoc position at the Swedish...
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of relevance: Documented expertise and skills in mathematical modelling of community dynamics is a requirement, and proficiency in statistical time series analyses in community ecology is desirable. Skills in
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, the Robotics, Perception and Learning Lab at KTH, and the Department of Mathematics at KTH. It also involves active engagement with industry partners, including H&M, Volvo Cars, Zenseact, and Embellence Group
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, for example, different types of statutory leave of absence. The research tasks require a solid mathematical background with proven advanced experimental capabilities and excellent programming skills (e.g. C
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different aspects of evolvability – the ability of organisms to evolve. We are interested in developing computational and mathematical tools to understand and quantify evolvability while exploring its