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well as standard laboratory routines of the group. Finally, the doctoral student will have to fulfill the course requirements of the PhD program as outlined in the relevant rules and documentation available
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Informatics together with TAIGA – Centre for Transdisciplinary AI is recruiting a PhD student
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automata, and the mathematical and computational foundations of neural networks. Familiarity with the following areas is meritorious: machine learning, computational complexity, tree automata and tree
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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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aspects of life as a PhD, we strongly recommend skimming through the Young Academy of Sweden’s “Beginner’s Guide to Swedish Academia” A Beginner's Guide to Swedish Academia - Terms of employment When taking
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offer a collaborative environment for translational biomedical research. The doctoral student project and the duties of the doctoral student The use of chimeric antigen receptors (CAR) in T cells has
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to energy systems and heating, ventilation and air-conditioning systems (HVAC) in both the residential and the industrial sector. As a PhD-student you will be part of two main research areas, comfort cooling
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aspects of life as a PhD, we strongly recommend skimming through the Young Academy of Sweden’s “Beginner’s Guide to Swedish Academia” A Beginner's Guide to Swedish Academia - Terms of employment When taking
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languages and sustainable methods in furniture design and craft. The future is in motion – how can analogue and digital craft spark new forms and strengthen education, research, and society? Join us as a PhD
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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