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science, mathematics, physics, or a related field. You have affinity with numerical modelling, preferably atmospheric modelling or climate modelling, and mathematical theory of dynamical systems. You have
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- and knockoff-based methods that allow for relatively model-free inference. In this project, we aim to combine the strengths of these three frameworks into a novel and coherent whole. The project is
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ecological monitoring of invasive species. You will explore how Explainable AI (XAI) methods can efficiently interpret geospatial models' behaviour. The central aim is to explore how such techniques can
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prior research experience in sociology - including a robust command of social science methods (e.g. ethnography, interviewing, policy/discourse analysis) and thorough theoretical expertise in cultural
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evolution for decades. Yet, with the rise of modern cutting-edge technologies, we can now use novel, data-driven methods to explore the ancient past and unpack the origin of language. This PhD position
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, Industrial Engineering, Computer Science, or Machine Learning. Solid experience with quantitative optimization methods, including (but not limited to) mathematical programming and stochastic dynamic
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! We have a vacancy for a Researcher animal health and natural ingredients (24 – 32 hours a week). Our projects involve developing and improving analytical methods for growth promotors and veterinary
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-modal prior information Job description The project is part of the IMAGINE open innovation lab (https://research.umcutrecht.nl/news/imagine-takes-off/ ), and aims to develop novel computational methods
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Responsibilities Both PhD’s will conduct one high-quality systematic literature review on existing methods and/or applications to integrate patient preference information, clinical outcome assessments, and
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within the research programme are also warmly welcomed. The proposal should explain how the multidimensional research method is applied (as described in the research programme). In particular, we find it