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this, we focus on self-supervised denoising, where models learn to restore images using only the noisy data itself — without requiring clean references. Existing approaches often rely on convolutional neural
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the transition towards more regenerative and adaptable furniture systems. Results will be shared through publications, demonstrator projects, and educational models, strengthening the link between research
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. Work duties The main task is to conduct research. Teaching may also be included in the duties. Work in this field includes the design, modelling, realization, and characterization of nanophotonic
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in field trials and greenhouse experiments. Results from the experiments will feed into a crop modelling part while harvested seeds will be used for further analyses in other parts of the overarching
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processes with relevance for irrigation and drainage Have knowledge in programming in R and Python for statistical analyses and modelling. This includes experience in applying these skills in projects Have
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Algebra (7.5 credits), Foundations of Analysis (7.5 credits) and Complex Analysis (7.5 credits) as well as a degree project amounting to at least 15 credits, or equivalent. Selection The selection among
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for selective sorption of lanthanides from complex waste mixtures using advanced materials. This research will be a part of a collaboration between several research groups working within the EU project MaLaR
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of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms
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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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of TrustLLM a large EU project developing trustworthy and factual language models. Host of the largest basic research program in Sweden Wallenberg AI, Autonomous Systems and Software Program (WASP) as