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) Computer Science/ Mathematics/Physics and at the second cycle level, 60 credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics including a 30 credit Degree Project (thesis). Additional
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. mathematical modelling of biological systems. More specifically, you will work with mathematical modelling of metabolic networks, using theory from metabolic flux analysis of mass spectrometry data. You will
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engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence
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of neural networks and other symbolic techniques with applications ranging from mathematics to cognitive science, and often in cross-disciplinary collaborations. In this project the PhD student will work
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fields: Robotics Computer Science Electrical and Computer Engineering Mechanical Engineering Applied Mathematics Applied Physics Statistics and Optimization A strong background in robotics, machine
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in control of grid-connected converters and/or system stability. Strong analytical and mathematical skills, particularly within small-signal modelling and analysis. Documented laboratory experience
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Engineering, Computational Engineering, Engineering Mathematics, Engineering Physics or similar* You will need strong written and verbal communication skills in English Documented experience (education/courses
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We are looking for a postdoctoral researcher to work on prediction of local animal-plant networks. About the position A postdoctoral researcher position is available in Mariana Braga's group at the Swedish University of Agricultural Sciences (SLU) in Uppsala, Sweden. Research in the Evolving...
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consist of the following: Mathematical analysis of ecological and eco-evolutionary models, involving pencil-and-paper calculations; Computer simulations of more complex models which do not easily lend
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computational photography. The specific focus is on research and development of methods and mathematical analysis relevant to perception, image formation, and computer graphics. The general focus is on research