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projects are multidisciplinary in nature, and the ideal candidates are comfortable with moving outside their field to understand both molecular biology and computational methods. We rely heavily
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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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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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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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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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applicant must have passed courses within the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b) Computer Science/Mathematics/Physics and at
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mathematical foundations in theoretical computer science. Good verbal and written communication skills in English. Swedish is not required for this position. Chalmers offers free language courses for those
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teaching or other departmental duties, up to a maximum of 20 per cent of full-time. Your qualifications You have graduated at a Master’s level in Computer Science, Mathematics, or a closely related subject
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This is a call for a PhD position in the Data Science and AI division at the Department of Computer Science and Engineering (CSE) , Chalmers University of Technology. The department