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Join and help us to derive global forest biomass data from the European Space Agency’s Biomass satellite mission. If you have interests in remote sensing, machine learning and forests, this is the
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teaching and learning in higher education and get the opportunity to learn Swedish through the University’s Swedish language courses for new international staff. As you prepare to move to Sweden, we offer
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‑mining and machine‑learning methods. The expected scientific outcome is to establish guidelines for identifying and optimizing promising electrolyte materials and to support the development of future
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experience in the design of therapeutic antibody modalities Documented research experience in AI/machine learning/deep learning Documented experience in the development of therapies for oncological
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. The candidate is expected to have an overall interest in AI concepts and methods, in particular human-centred AI, and expertise in formal models and machine learning, as demonstrated by publications and other
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, electron microscopy, material testing, and physical simulation machine (Gleeble). Research on AM is conducted mainly experimentally and through modelling and simulation to understand, develop, and improve
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to integrate research in the relevant subject area, subject didactic, and higher education into teaching is also required. documented ability to teach in Swedish or English. In addition to academic
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overall interest in AI concepts and methods, in particular human-centred AI, and expertise in formal models and machine learning, as demonstrated by publications and other scientific output. Ideal
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different backgrounds. This position requires that you have graduated at Master’s level in in computer science, media technology, computer engineering, human-computer interaction, visual learning and
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tenured position as a senior lecturer, with opportunities for further career advancement. You will receive five weeks of training in teaching and learning in higher education and get the opportunity