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of Chemistry and Biomedical Science, one of five departments within the Faculty of Health and Life Sciences. Our department plays a pivotal role in shaping BSc programs in biology, biomedical analysis, health
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global academic and industry network🌟 Who we’re looking for:- A curious, ambitious researcher with a strong background in signal processing, wireless systems, mathematics (statistics, linear algebra
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and/or dynamic approaches to detect them in the code or prevent their execution at runtime. Keywords for this project: code analysis, static analysis, reverse engineering, defense mechanisms
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, engineering physics, biomedicine, or similar Documented skills in data-driven analysis (machine learning using python with TensorFlow, PyTorch, or similar) and computational statistics Specific knowledge of big
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qualifications Marine biogeochemical processes Hydrodynamic processes related to ships, turbulence, or mixing Oceanographic modelling Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary
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Sweden or abroad. Specific entry requirements You should hold a Master’s degree (or equivalent) in electrical engineering, engineering physics, energy systems, or a closely related field. You must be able
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benefit analysis with more practical aspects, such as implementation and real-world applications, in collaboration with project partners Volvo Cars and Autoliv. About us The project is located within
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the training process to several network threats, such as DDoS attacks, traffic hijacking, and traffic analysis. While these risks are well-studied in existing literature, their impacts on distributed AI training
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of segregation, culture, and politics, as well as social network analysis and computational text analysis. IAS is also home of the Swedish Excellence Center in Computational Social Science (SweCSS
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)—that is, the inability of a model to effectively process or understand visual information. This work involves integrating visual encoders with language models to create multimodal systems. The emphasis is