82 phd-in-architecture-landscape-built-environment Postdoctoral positions in Netherlands
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, Computer Science and Artificial Intelligence. The position is embedded in the Multi-Agent Systems group of the department of Artificial Intelligence of the Bernoulli Institute. Qualifications PhD in Computer Science
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the supervision of PhD candidates and we encourage pursuing publishing and attracting research funding beyond the involvement in this particular project. In short, we try to accommodate the development of your own
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research). Our research focuses on questions within the domains of food, living environment, and society. With approximately 30 locations, 7,700 staff members, 2,500 PhD candidates, and over 13,000 students
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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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to build predictive models Collaborate closely with experimentalists and modelling experts Project Environment This position is part of a collaborative research project involving: Two PhD students at TU
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. You’ll be part of a dynamic, collaborative environment that values innovation, rigor, and translational impact. Information and application Apply by 23:59 on August the 24th, 2025. Interviews will
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analyses that could empower our ability to forecast and get “out in front of” terrorist group adaptation and changing risks of violence and threat environments. Applicants should have experience or existing
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the inspiring research group of Economic and Social History external link , one of the world-leading groups in the field. Your qualities You bring the following qualifications: a PhD in social, economic and/or
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Administration & Secretariat Policy & Advice IT Marketing & Communication Human Resources Finance Legal Real Estate & Facilities Management Education Research, development, innovation Academic staff PhD
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used in home environments allow for multi-night recordings which is essential to reduce the impact of night-to-night variability of OSA severity on classification. In addition, non-contact detection