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that are fundamental for modern Artificial Intelligence. Visual representations typically use interactive 3D computer graphics to ensure users can explore their data. This subject also includes more focused areas such
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knowledge in at least two of the following areas: extended reality, perception, psychophysical and psychophysiological methods, experimental design, and human-computer interaction. Good knowledge in one
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kernel Hilbert space theory, the project seeks to rigorously embed physical laws into deep learning while enabling uncertainty quantification and error estimation. This research offers an opportunity
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project: Computational methods for complex SV detection using sequencing data Main supervisor: Kristoffer Sahlin, ksahlin@math.su.se . Co-supervisor: Adam Ameur, adam.ameur@igp.uu.se . In the Department
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the valuation of natural assets? This interdisciplinary research builds on real options theory and modern computational methods to assess dynamic, irreversible decisions under uncertainty. By blending tools from
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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for infrastructure and construction. As part of this, consideration of safety aspects and development of methods for managing consequences of fires and similar accidents in society. Research in fire safety engineering
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, especially TRP- and KCNQ-channels. To achieve this ambitious goal, we will employ an interdisciplinary approach centered on structural biology and biochemical methods. The recruited individual will conduct
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, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and collaborations with experimental
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delimitation in biodiversity conservation using modern artificial intelligence (AI) methodologies. Based on morphological traits, traditional species delimitation methods struggle with groups like bacteria and