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of Excellence. In collaboration with Umeå School of Education, the Department of Language Studies is looking for a doctoral student in language teaching and learning. The Department of Language Studies
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with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted. The following experience will strengthen your application: Experience in system identification and machine learning is
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protection and security, work environment safety and environmental safety at the MAX IV Laboratory. The team is now looking to employ an expert within machine safety. As the sole machine safety engineer, you
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Systems, Internet Systems and Computer Networks, Robotics, Machine Learning and AI, Automatic Control, or Mathematical Modelling and Optimization. Documented good profiency in software development. Good
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data at an internationally competitive level. Experience of biostatistics or machine learning approaches Proficiency in a scripting language like R or Python, as well as ability to work efficiently in a
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candidate will collaborate with various research groups, expand professional network and acquire advanced biochemical and computational skills. This project builds upon our team’s established expertise
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: developing and applying image analysis and sensor technologies (e.g. RGB/NIR) for textile production, as well as using machine learning for process optimisation and performance prediction from fibre
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researchers from literacy, STEM, special didactics, and the science of learning to create an interdisciplinary environment applying evidence-based practice. By systematically developing and implementing
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of complex brain processes. The prospective PhD candidate collects brain MSI data and develops novel machine learning methods in connection to generative models such as flow matching. Therefore, the doctoral
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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