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Field
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techniques • Explainable AI/ML using visualization • AI/ML-empowered visual analytics of multivariate networks (network embeddings, …) • Large Language Model (LLM)-assisted visual analytics of text, images
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questions about the particles and forces governing our Universe to energy-related research. The methods of our investigations are also diverse and complementary, and range from theory and computer simulations
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23 Oct 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Computer architecture Computer science » Other Environmental science » Earth
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strengthen your application: Experience in matrix hydrodynamics and Zeitlin's model for the simulation of 2-D turbulence. What you will do Supervise master’s and/or PhD students to a certain extent Possibility
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groups and industrial actors. The applicant must have completed a PhD degree in a relevant field at the time of employment. The applicant is further expected to have experience with solution-processible
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electro- and thermocatalysis, in collaboration with PhD students. You will: Synthesize catalysts (thin films or metal nanoparticles). Characterize catalysts using a wide range of advanced techniques
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applicants must hold a PhD in psychology or a closely related discipline. The degree must be completed before the start of employment. We are looking for a researcher with a strong interest in attitudes
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numerical models and signal processing methods to detect and understand seismic events directly from communication signals in optical fibers — paving the way for a new class of communication-based seismic
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regulators of disease onset and progression. Responsibilities include processing large-scale sequencing data, developing and benchmarking methods for splicing and regulatory network inference, integrating
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. Responsibilities include processing large-scale sequencing data, developing and benchmarking methods for splicing and regulatory network inference, integrating multimodal data with clinical information