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. Project description This PhD project focuses on advancing the scientific computing foundations of quantum spin dynamics by developing efficient numerical algorithms for modeling complex, open quantum
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position within a Research Infrastructure? No Offer Description Department of Forest Bioeconomy and Technology and Department of Forest Genetics and Plant Physiology This project invites you to combine
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Department of Forest Bioeconomy and Technology and Department of Forest Genetics and Plant Physiology This project invites you to combine genetics and data from real-world forestry to better
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related to staff position within a Research Infrastructure? No Offer Description Description of the workplace At the Division of Clinical Genetics , Department of Laboratory Medicine , we are seeking
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algorithms and methods for calibrated Bayesian federated learning for trustworthy collaborative Bayesian learning on data from multiple participants. The project will develop new methods, theory, and
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interdisciplinary research on knowledge extraction from social data. Project description The project is in the emerging area of fair social network analysis. In today’s algorithmically-infused society, data about our
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strong background in mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. The applicant should furthermore
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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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and significant piece of information to the right point of computation (or actuation) at the correct moment in time. To address this challenge, you will focus on developing theoretical and algorithmic
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and algorithmic foundations for goal-oriented, semantics-aware communication strategies that enable efficient, intelligent, and adaptive information exchange in joint communication and control. In