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-supervision from Professor Fredrik Tufvesson. The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is
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technology, power, and politics. Particular merits include: Skills in relevant methods, such as qualitative text or discourse analysis, digital ethnography, quantitative analysis of digital data, social
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communication skills in written and oral communications in English language. For further information about a specific subject see General syllabus for the Board of the faculty of science and technology Further
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equivalent knowledge in some other way, is required. More information about the general requirements can be found here . A student has special eligibility for doctoral studies in organic chemistry if s/he has
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. The position is placed in the Division for Computer Networks and Systems and is formally employed by Chalmers University of Technology. Our research spans from theoretical computer science to applied systems
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information: http://www.slu.se/en/departments/forest-ecology-management/ Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Name of research project
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Experience with performing laboratory experiments Ability to work with large data sets (> 500 GB) Numerical modelling Main responsibilities Independent research and research training (80% of time) Support for
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. Applicants must meet specific English language proficiency requirements. For further information see: www.universityadmissions.se In the recruitment process we will put great emphasis on the candidate’s
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referees familiar with the applicant's qualifications certified knowledge of the English language if relevant, copies of scholarly publications More information about the English language requirements can be
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, which is crucial for rutting, using machine learning. Second, we will develop new systems to integrate data from radar and lidar sensors mounted on drones and forestry machines to improve future real-time