9 phd-position-in-data-modeling Postdoctoral positions at Chalmers University of Technology
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This multidisciplinary position is part of a WASP NEST (Novelty, Excellence, Synergy, Teams) project focused on advancing generative models and perceptual understanding in computer vision. The
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own research in a research group. The position may also include teaching on undergraduate and master's levels as well as supervising master's and/or PhD students to a certain extent. Another important
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awarded no more than three years prior to the application deadline. To be successful in this position, you: have a strong, quantitative background, ideally hands on with modern generative models have proven
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digital twin framework, adaptable to: The level of detail available for ship modelling, The quality of risk-related data, and Quantified model and data uncertainties. The project will advance knowledge
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
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thermal conductivity b) Development of hBN thermal interface material that combines a high degree of compressibility and recovery c) Modeling, simulation and characterization of phonon transfer across
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qualitative data into quantitative models. A track record of high-quality publications. The position requires sound verbal and written communication skills in English. Swedish is not a requirement but Chalmers
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The position's field of research focuses on developing and implementing safe, transparent, and explainable AI systems using multimodal deep learning and Large Language Models (LLMs) for healthcare
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by senior researchers at the involved departments and companies. The position may also include teaching on undergraduate and master's levels as well as supervising master's and/or PhD students to a