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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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flow, fluid dynamics, and sustainable energy systems. The research focuses on developing new methods to study and model multiphase flows as key phenomena in energy and industrial processes. The work
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tumour specific antigens (e.g. EPCAM) in magnetic nanoMIP and fluorescent nanoMIP formats. The doctoral candidate shall support MIP design with molecular modelling and undertake nanoMIP synthesis
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Industrial Engineering, with specialization in hydrogen supply systems,you will join a research group dedicated to large-scale hydrogen supply and storage systems. The aim is to develop thermodynamic models
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to identify a model able to explain the presence of zonal jets. You will be based at the Dept. of Earth Sciences in Uppsala, but will be expected to travel both nationally and internationally. The position is
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doctoral student who has Competence and skills: -Strong foundation in computer vision (e.g., object detection, image segmentation) and NLP (e.g., text reasoning, language models). -Knowledge of generative AI
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and computer 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
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safety. The goal of this PhD project is to increase knowledge of thermodynamic and material processes in marine hydrogen propulsion systems and to develop predictive models that ensure safe and efficient
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twins, semantic modeling, secure data exchange, and reconfigurable production architectures. The research will also be carried out in LTU’s AIC³ Lab, an advanced test environment for future industrial
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general study plan . We are looking for candidates with: a strong interest in interdisciplinary research, excellent coding and modelling skills, good communication skills with sufficient proficiency in oral