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out without a solid theoretical foundation. This leads to unpredictable behavior, which is a major bottleneck for efficient and resilient control of complex systems in engineering and medicine. Your
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components to execute complex reasoning and decision-making tasks. These agents are increasingly deployed in domains such as healthcare, finance, cybersecurity, and autonomous vehicles, where they interact
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other departmental duties, up to a maximum of 20 per cent of full-time. Your qualifications You have graduated at Master’s level in Electrical Engineering, Computer Science, or Applied Mathematics, with a
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in another way. Knowledge of mathematical modeling, building simulation, CFD or measurements is an advantage. You also have a genuine interest in energy issues in general and see this as an important
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of craniofacial biology - generation of 3D models with complex defined extracellular matrices. The candidate should submit a letter of intent, providing a narrative description of their scientific background
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climate change affects the mobility of radioactive contaminants in the ocean. The project focuses on the Baltic Sea and combines fieldwork, laboratory experiments, advanced radiochemical analysis, and
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network spanning materials science, AI, and computational imaging. Submission is possible until: 17 October 2025 Requirements Master’s degree in Computer Science, Materials Science, Physics, Mathematics
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in both wet lab work and bioinformatics analysis of Oxford Nanopore long-read sequencing data related to X-linked diseases. Skilled in proteomic methods using MALDI-TOF and HPLC-MS, including data
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of sustainable processing in complex production chains. Precision and resource efficiency are combined with the ambition to create aesthetically innovative results. The goal is to integrate functional and
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theoretical analysis, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and