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cybersecurity team at Luleå University of Technology and also our partner within Cybercampus Sweden, RISE. We will use methods and technologies including expert systems, evolutionary algorithms, machine learning
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including high
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to learn Swedish, to facilitate teaching and research collaboration. Chalmers offers Swedish courses. Mandatory A PhD degree in a relevant field of research, awarded no more than three years prior
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of course transcripts, PhD degree certificate and other certificates no more than 10 scientific publications and no more than 5 materials intended to convey knowledge, such as textbooks, computer programs for
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lecturer, applicants are required to hold a PhD or equivalent academic qualifications in analytical chemistry. The position is primarily intended for applicants who have completed their PhD, or acquired
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), an interdisciplinary research environment with around 40 researchers from various disciplines. CSR places great emphasis on ensuring that research results are effectively communicated and contribute to learning, policy
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focuses on the creation of visual representations that create insights and clarification of complex data. This includes the interpretability and explainability of machine learning models
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-assembly mechanisms, identifying robust experimental signatures of collective properties, exploring practical applications, and utilizing artificial intelligence and machine learning to aid in this process
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machine learning techniques into a modern AI planning system. The project will involve both theoretical and experimental work As a PhD student, you devote most of your time to doctoral studies and the
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Merits: Experience with Matlab Prior coursework or project experience in railway mechanics Background in signal processing Knowledge of machine learning techniques Main responsibilities Your primary