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and the University of Gothenburg. DSAI conducts internationally recognized research of high quality in the core areas of modern AI, computer science, and algorithms. The division also includes research
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and data-based models for describing complex materials and (re)active molecules with a focus on their interfaces. Development and implementation of new methodologies and algorithms for simulating
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: Experience of work in chemistry lab environment (e.g. material synthesis, material characterization, material testing and evaluation) is highly meritorious. Experience with machine learning algorithms and
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background, the teaching may also be in other aspects of software development (DevOps, Algorithms etc.) or informatics (e.g., content design, user experience design and human-computer interaction). You are
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experiments; experience in research exploiting laboratory/synchrotron X-ray methods; experience in developing computer algorithms in Python, Matlab or an equivalent language relevant for materials analysis
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successful candidate should have excellent study results and a strong background in mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment
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Do you want to contribute to groundbreaking research in the development of a theoretical framework and numerical algorithms for evolving stochastic manifolds? This is an exciting opportunity for a
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research on the development of new inference methods and algorithms for wide classes of stochastic models. However, research will be conducted in collaboration with biologically oriented researches allowing
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. The current position deals with free-space optical transmission experiments. It will involve challeges with low SNR, atmospheric turbulence issues, coherent recevers and related signal processing algorithms
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develop and analyze mathematical models and algorithms that connect partial (and/or stochastic) differential equations, infinite-dimensional optimization, and statistical machine learning. The goal is to