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Field
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at the interface of probability theory and artificial intelligence, whose goal is to rethink and structure the way mathematical research is produced in the era of AI. Key Responsibilities: Designing and implementing
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, differential equations, integral calculus, probability theory, numerics) Proficiency in programming with Python (in-depth understanding of programming concepts, native Python and efficient use of libraries
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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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theory, latent change score models) comparing shifts in how children and AI-models learn to reason. Teaching is limited to 5% of the contracted hours, by assisting in courses and supervising (bachelor
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or population genetics theory Evidence of technical skills and interest (e.g., writing code, using git, HPC experience) Understanding of basic statistical methods Demonstrated ability to review and synthesize
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together 11 leading institutions across Europe to train 16 Doctoral Candidates at the forefront of theory and experiment in ultrafast science. The programme offers a unique, interdisciplinary environment and
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based at IVM and collaborate with other researchers in the USA, Germany and the UK who will be recruited for this project. Your main tasks are to: Design and apply theories from the fields of behavioural
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qualifications: Experience with genomic or transcriptomic data analysis, especially of plant species Basic understanding of genomics, evolution or population genetics theory Evidence of technical skills and
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resolved (polarized, low-temperature) absorption and photoluminescence spectroscopy, and a good knowledge in the use of density functional theory calculations of these materials. Job description We
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be conducting research within the Modality work package. The overall goal of this work package is to distinguish between two expressive functions for modal talk and to develop a theory and logic of