42 computer-science-programming-languages-"CNPEM" PhD positions at Chalmers University of Technology in Sweden
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. The PhD student will be enrolled in a doctoral programme of Chalmers and is jointly supervised by supervisors from the academic and industry sectors. Further information can be obtained by contacting Docent
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the Swedish National Infrastructure for Computing (SNIC) and the Chalmers Centre for Computational Science and Engineering (C3SE). Learn more about the project and the research: Project overview Due
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a 4-year Bachelor's degree for international applicants) in marine or environmental science, civil or environmental engineering Strong written and verbal communication skills in English Meritorious
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years. However, depending on the Department’s needs, the position may include teaching in the Master’s Program Design and Construction Project Management (MPDCPM) or performing other institutional duties
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Master’s degree (or a 4-year Bachelor's degree for international applicants) in marine science, environmental science, or a related field Strong written and verbal communication skills in English Meritorious
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involve parametric and computational design in Grasshopper, physical computing and digital sensing, robot toolpath design and optimization, as well as custom programming in Python or other languages. Your
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(masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits in Electrical Engineering, Communication Engineering, Engineering Physics, Computer Engineering or similar, with a strong
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for the PhD program at Chalmers. Participating in departmental duties, primarily teaching and supervising undergraduate students. Your profile We are seeking candidates with the following qualifications
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and programming in Python Be proficient in English (spoken and written) Be willing to learn Swedish within two years if not already proficient (courses are offered at Chalmers). Contract terms Full-time
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Engineering and Autonomous Systems division . We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and learning