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departmental duties, up to a maximum of 20% of full-time. Your qualifications You have a Master’s degree in electrical engineering, engineering physics, computer science, applied mathematics or have completed
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center located in Norrköping, Sweden, with a PhD program in Analytical Sociology and an international Masters’ program in Computational Social Science. The research strengths of the IAS include the study
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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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, or equivalent, a transcript of records from previous first and second-cycle studies at a university or higher education institution. Applicants who are not Swedish citizens need to submit an attested copy
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animals. The department's researchers work on the entire scale from molecular mechanisms and microbiology to the structure, function and behaviour of animals, and how these are affected by breeding, physical activity, care
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to the empirical nature of the project or at least reached within 2 years after starting the PhD program. We are looking for you who are independent, self-driven, and analytical, with an ability to manage complex
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject, RAI, at the department of Computer Science and Electrical and Space Engineering at Luleå
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject, RAI, at the department of Computer Science and Electrical and Space Engineering at Luleå
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carbon filters. Wastewater treatment plants are significant sources of OMPs in the environment. Granular activated carbon (GAC) adsorption has emerged as a key removal process. In addition to adsorption
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. The position is limited to four years, with the possibility to teach up to 20%, which extends the position to five years. Doctoral studies require physical presence throughout the entire study period. A valid