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reactions. The research at the interface of biology, chemistry and physics has resulted in two ERC awards and other high profile grants, and the group continuously publishes in high impact journals. Find more
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to automate the process of species classification. However, there are still several methodologies that need to be developed to integrate these models into a functioning workflow for ecologists. In this 4-year
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goal is to integrate physical priors — including periodicity, symmetry, and long-range correlations — directly into the learning process to achieve more robust, interpretable, and scientifically
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at the time of application. More about selection criteria and the process can be found in the general syllabus for the subject, see https://mau.se/en/research/doctoral-studies/https://mau.se/forskning
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with respect to R&D work related to TS coatings. The core focus of the group's research revolves around unravelling the fundamental correlations between process parameters, coating microstructure, and
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are affected by chemical composition and crystal structure. For example, it studies how the process parameters and synthesis methods affect material properties. An important area is new magnetic materials based
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adaptation and high-versus low intensity forestry. We use empirical and process based modelling, with input data from the National Forest Inventory and long-term experiments. Qualifications: The applicant
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purposes, addressing issues on climate change adaptation and high-versus low intensity forestry. We use empirical and process based modelling, with input data from the National Forest Inventory and long-term
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Applications are welcome from candidates with an M.Sc. degree (or equivalent, including candidates who are about to complete their degrees) in materials science, chemistry, physics, or related fields. In
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from candidates with an M.Sc. degree (or equivalent, including candidates who are about to complete their degrees) in materials science, chemistry, physics, or related fields. In addition to the above