20 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Tilburg University in Netherlands
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and digitizing archival data, strong knowledge of causal inference methods, good command of R and Python. Knowledge of machine learning methods is an asset. Strong command of English; command of either
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PhD Candidate on The Future of Mixed Methods Research /Junior Lecturer in Methodology and Statistics
support senior teachers and offer guidance. You teach qualitative research methods and general courses in research methods in the programs in which the Methodology and Statistics department is involved
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with new challenges in cybersecurity of the Dutch armed forces. The postdoctoral candidate will work on a project developing and evaluating forecasting models for the analysis of defense relevant
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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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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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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