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studies which corresponds to four years. Position description We are seeking a PhD student to join our research team specializing in the analysis and modeling of multiphase flows. The research focuses
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science, connected to MDU’s existing research areas. The PhD project focuses on the development of a large language model (LLM)-based AI agent specialized in energy decision-making, including: development of AI models
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to staff position within a Research Infrastructure? No Offer Description Mälardalen University (MDU), Sweden’s youngest university, invites applications for a fully funded PhD position in multiphase
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Mälardalen University (MDU) is the youngest university in Sweden. In line with our vision, to be a progressive and collaborative University where we shape a sustainable future together, we wish to make a difference. Do you want to be involved and contribute to our development? Together, we can...
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% of the position. Qualification requirements The applicant is required to have a PhD degree in Energy Technology or a closely related field. The applicant must have completed the degree no more than
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employee possesses the necessary qualifications for the additional duties. The part-time employee has formally submitted a request for increased employment. How do I claim my right priority for re-employment
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and society, we develop energy systems and industrial processes with the objective of reducing environmental impact and emissions. Our researchers work with new methods for utilising renewable energy
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quantitative and qualitative data. Familiarity with student-related issues or experience with survey tools and statistical software. Demonstrated ability to write clear and well-structured reports. Experience
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the role of teacher as well as colleague. You should be able to relate to given frameworks such as curricula and previous teaching methods, but also contribute with your own initiatives, innovations and
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research. Assesment criteria For this position, particular emphasis will be placed on the following: Scientific originality and quality of the doctoral thesis. Experience and competence in scientific methods