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long-term, and most often global, perspectives on future renewable fuels for transport. We seek to rigorously analyse the feasibility of energy transitions, utilize empirical as well as estimated data
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organization and the energy of the future. Our work takes place in collaboration and in strategic agreements with companies, organizations and authorities in the region. Employment information Employment
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student, you will be supported by a multidisciplinary team with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected
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include: Developing the model using open-source Python software Planning and conducting experiments Analysing teardown reports and experimental data Validating and improving the model Publishing results in
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credits Master’s degree thesis, or 15 credits Master’s degree thesis plus 15 credits Bachelor's degree thesis). Name and contact information of two professional references (note: letters of reference
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scientific articles, reports, and presentations at conferences. Collaborating with researchers and stakeholders to collect data, discuss results, and organize workshops. Completing coursework required
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two pages) 2. CV 3. Diplomas of bachelor and Master level degrees 4. Bachelor/Master theses work/other relevant publications 5. Other merits of relevance for the position 6. Contact information to two
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higher education institution, two personal references, and knowledge of English. More information about the English language requirements can be found here: https://www.slu.se/en/education/programmes
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organization and the energy of the future. Our work takes place in collaboration and in strategic agreements with companies, organizations and authorities in the region. Employment Information Type of employment
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the grading system should be explained in brief. Copy of Master thesis and publications (if any). Contact information of at least two reference persons. The application, including attached documents, must be