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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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the entire trajectory from modelling a given subject population to the development of assistive robotics technologies. Our work is facilitated by the University's TechMed Centre , the Robotics Center and the
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Organisation Job description A postdoc position in computational social choice for AI Safety is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
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open to embrace new approaches! Together with industrial leaders and an extensive network of clinical institutions, we cover the entire trajectory from modelling a given subject population to
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. Qualifications PhD in Computer Science, Economics, Mathematics, or a closely related dis-cipline. Strong background in computational social choice, algorithmic game theory, or AI safety. Excellent research track
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Wageningen University. The scientist will be involved in an interdisciplinary, innovative synthetic biology project in a productive scientific environment. Selection Criteria A PhD degree in biochemistry
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Employment 0.8 - 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Science Application deadline 31 August 2025 Apply now Are you eager
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to provide better quality estimates compared to variables obtained from traditional data sources? RQ2: how can we combine the two different data sources in area-level models to measure attitudes towards LGBTQ