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learning models to link sequence to function, supporting the design of regenerative therapies in the nervous system. The position will combine hands-on neuroscience experimental approaches with data-driven
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novel manufacturing techniques is the key to improved heat transfer mechanisms and more efficient use of energy. Approximately 25 colleagues work in the division, including 15 PhD students
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, development of chemical process solutions for repurposing of electrodes, and integration of AI-based vision and active machine learning to optimize the efficiency of the process. Writing publications and
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models for complex data, including temporal data
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to no more than 20% of working hours. The position shall include the opportunity for three weeks of training in higher education teaching and learning. The work duties include: The post-doctoral fellow will
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hours. The position shall include the opportunity for three weeks of training in higher education teaching and learning. Detailed description of the work duties, such as: Research within the subject area
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hours. The position shall include the opportunity for three weeks of training in higher education teaching and learning. Detailed description of the work duties, such as: Research within the subject area
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and free-energy calculations in explicit solvent. The postdoctoral researcher will employ machine-learning-accelerated methods throughout the workflow, contribute to the development of new computational
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of affiliated PhD-students, postdocs and more senior researchers from diverse disciplines, with a close collaboration between primarily medical radiation physics and diagnostic radiology. LUCI has many national