27 machine-learning-"https:" "https:" "https:" "RAEGE Az" positions at Tilburg University in Netherlands
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strategies in psychiatry. This research combines recent advances in machine learning and cognitive neuroscience to contribute to future clinical tools for diagnosing and monitoring neuropsychiatric disorders
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-generated scenarios or machine learning-driven attack/defense strategies; Experience in developing comprehensive security assessments, producing technical reports, and contributing to toolkit documentation
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Management Science, Information Systems Research, and MIS Quarterly. We seek applicants with a strong quantitative background, such as analytical modeling, econometrics, and/or machine learning, and a
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experiments, behavioral research, econometric and causal inference approaches, optimization and analytical modeling, and data-driven techniques such as machine learning and large language models. Our work is
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cutting-edge analytical approaches (Multilevel Vector Autoregressive Models, Dynamic Structural Equation Modelling, Hidden Markov Models, Causal discovery algorithms, Reinforcement Learning), Contributing
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: -Federated learning -Secure multi-party computation -Homomorphic encryption -Blockchain-based provenance and audit mechanisms Develop a subsystem or service that provides “security-by-design” recommendations
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management of the lab infrastructure of the lab. Where to apply Website https://www.academictransfer.com/en/jobs/357258/research-software-engineer/appl… Requirements Specific Requirements Desired
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Sciences and placed in the NLR Training & Simulation Department, in close collaboration with the Data Science Center of Excellence of Dutch Defense. Where to apply Website https://www.academictransfer.com/en
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, democratize creativity, and expand access to artistic and cultural practices through new forms of human-machine collaboration. This PhD vacancy is open for a candidate interested in exploring the relationship
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quality can learn from early modern cities. By tracing how civic communities once organised and enforced measures to protect water resources, the project connects historical practices to contemporary policy