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, calorimetry, and synchrotron experimental measurement techniques. Knowledge of AI-based and machine-learning methods is also beneficial. For further information about a specific subject see General syllabus
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and modelling. The applicant will be expected to: develop and lead internationally successful research; develop, lead and participate in teaching at first, second and third cycle level; primarily teach
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are involved. Runtime models (e.g., behavior trees or state machines) will be used to support adaptive coordination and increase the flexibility of coordination mechanisms. You will design software architecture
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Learning has an open position for a doctoral student with a background and strong interest in deep generative learning and computer vision/remote sensing. The successful candidate will join a project funded
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Foundations We are looking for two outstanding researchers with a strong track record of advancing the state of the art in machine learning and its application to biology and medicine, with the ambition
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, micro-CT, particle size analysis, calorimetry, and synchrotron experimental measurement techniques. Knowledge of AI-based and machine-learning methods is also beneficial. For further information about a
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are involved. Runtime models (e.g., behavior trees or state machines) will be used to support adaptive coordination and increase the flexibility of coordination mechanisms. You will design software architecture
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, statistical methods, or machine learning is considered a merit. Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University´s rules and guidelines
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spectral based sensing, including Ultrasound and Hyperspectral Imaging (HSI), Artificial Intelligence (AI) and Tiny Machine Learning (TinyML). Duties As a Postdoctoral researcher you are expected to perform
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. The successful candidate will also contribute to the development of teaching and learning within the subject area. The research can be based on controlled experiments as well as production data from commercial