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assignments The doctoral candidate will investigate new strategies for controlling the electronic properties of organic semiconductors through light-driven chemical doping. The work will involve combining
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educational backgrounds and combinations include: industrial engineering, computer science, artificial intelligence, information technology, or related engineering discipline. We expect you to have: Ability
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: using time-series and comparative datasets to build dynamical models that link developmental processes to evolutionary outcomes. Predictability of evolution: creating integrative models that combine
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approaches that combine artificial intelligence, machine learning, natural language processing, and social sciences. This collaborative and cross-sectoral approach aims to produce robust methods for evaluating
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species like birds and bats. Combining PAM with occupancy modeling allows for large-scale ecological studies, assessing both individual species and community responses to environmental changes. In this 4
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in bioacoustic technology, such as passive acoustic monitoring (PAM), now enable efficient study of vocalizing species like birds and bats. Combining PAM with occupancy modeling allows for large-scale
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the electronic properties of organic semiconductors through light-driven chemical doping. The work will involve combining tailored materials design with advanced characterization methods to enable new device
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with GKN Aerospace Sweden with partial work there and combines numerical and experimental research. Project overview The purpose of this project is to contribute to the development of an ultra-efficient
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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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centre “Biofilms - Research Center for Biointerfaces” www.mau.se/brcb , which combines biomedical science with clinical and translational research in medical, dental, food and environmental application