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, number theory, representation theory, invariant theory, dynamical systems, free probability, partial differential equations, and mathematical physics. In statistics, these include biostatistics, optimal
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structures, the development of effective architecture for machine learning classification of the structures, and reinforcement learning methods for optimizing the structures for particular applications
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probabilistic behavioral models for verification, performance evaluation, and optimization using model-checking techniques, ultimately bridging static system design and dynamic operational analysis. We offer
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. This postdoc position will focus on enabling robust, intelligent robots through co-design of morphology and control. This can involve optimizing robots through techniques from Evolutionary Robotics in a
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limits and human perceptual tolerances. The work will comprise designing networking and computing architectures that integrate prediction and control algorithms, optimizing data transformations, offloading
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at the Department of Pharmacy, Faculty of Mathematics and Natural Sciences, within the interdisciplinary research project DECODING ADDICTION – Unraveling Individual Variability to guide Prevention, part of the UiO
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structures and reinforcement learning methods for optimizing the structures. The outcome from the models will be tested in experimental setups requiring deep understanding of protein chemistry and molecular
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, diafiltration and protein precipitation Set up, develop and optimize protein purification methods using chromatography equipment Purify protein samples using immunoaffinity, metal affinity, size exclusion, and/or
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to: Prepare culture supernatants and cell lysate samples for purification by ultrafiltration, dialysis, diafiltration and protein precipitation Set up, develop and optimize protein purification methods using
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approaches is helpful. An optimal research approach would benefit from proficiency in using languages such as Python, Bash, R, SQL, and UNIX shell scripting. The project goals would benefit from knowledge and