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, Engineering or related field. A strong background/knowledge in machine learning and computer vision, robotics is a plus. Solid mathematics foundations, especially statistics, calculus and linear algebra
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Phd Position in Multiscale Spatiotemporal Modelling of Microbiome During the First 1000 Days of Life
interpretability using techniques such as complex network analysis and dimensionality reduction (ordination). Intervention analysis: Develop qualitative and quantitative mathematical models to simulate the impact of
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mechanics of the monolayers. Additional data obtained using plasma samples from Chronic Kidney Disease patient samples will be incorporated, to allow translation of the mathematical model to the (pre)clinical
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that blends expertise in Artificial Intelligence with Financial Technology. In addition, our group collaborates closely with the Korteweg-de Vries Institute for Mathematics in form of joint seminars and
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combining methodologies from computational fluid dynamics, solid mechanics, and mathematical optimization. You will collaborate with both local and international partners (this includes clinical, experimental
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on scientific explanation and methods applied to areas such as AI, Mathematics, Quantum Physics, Cognitive Science, Life Science and the Engineering Sciences. What are you going to do? You will develop an account
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Do you enjoy working in an interdisciplinary research environment? Are you interested in using state of the art language technology to advance research in cognitive science and linguistics? If you
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for these tasks learning and emergent communication: developing general technology to create learning agents which can communicate with humans, explain their predictions and decision strategies, and also learn
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Coatings (Sassenheim), Reden (Engineering and simulation, Hengelo OV) and the Rijksmuseum in Amsterdam. The project is financed by NWO and Canon. What are you going to do? The PhD will do research in network
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interpretation of experimental data, supported by the mathematical and computational modelling of nonlinear dynamics. Your findings will be disseminated through peer-reviewed manuscripts and conference