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3 Oct 2025 Job Information Organisation/Company Karolinska Institutet (KI) Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 30 Nov 2025 - 22:59 (UTC) Type of Contract Not Applicable Job Status Full-time Is the job funded...
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Computer Science with focus on AI trustworthiness modeling in medical domain. The employment of full-time for two years starts in Feb 2026 or by agreement. The deadline for applications is Nov 28, 2025
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trustworthiness modeling in medical domain. The employment of full-time for two years starts in Feb 2026 or by agreement. The deadline for applications is Nov 28, 2025. Department of Computing science At our
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are being strengthened. Subject and project description This project is focused on the development of high-fidelity reacting flow models to investigate thermal runaway in battery cells, pack, modules, and
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for applications in virtual reality, gaming, digital assistants, and social robotics. We build on recent breakthroughs in spontaneous speech synthesis and gesture generation based on deep generative models to train
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of Mathematical Statistics include stochastic models, statistical theory and computational statistics, probability theory and statistical signal processing, with applications in areas such as financial mathematics
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models”. The scholarship is full-time for two years with access in spring 2026 or as agreed. Departmental specific information We work on sensory biology and mechanotransduction, focusing on non-standard
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senior researchers and doctoral students. Current research areas within the Department of Mathematical Statistics include stochastic models, statistical theory and computational statistics, probability
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level. There is close collaboration with epidemiologists, clinicians, and research groups both nationally and internationally. Your mission The aim of this position is to evaluate models for early
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develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates