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cancer. The goal will be to find genetic prediction models to be able to predict which childhood cancer patients have a high or low risk of toxicity in childhood cancer. Preliminary the doctoral project
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— including periodicity, symmetry, and long-range correlations — directly into the learning process to achieve more robust, interpretable, and scientifically meaningful reconstructions of microscopy data. As a
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on behavioural syndromes and social networks in dogs and to some extent wolves. The selected PhD student will work with large-scale behavioural data sets using a range of approaches, including heritability
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as well as undergraduate and postgraduate education in theoretical physics with a focus on materials research. The department employs around forty researchers, postgraduate students and teachers. You
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, particularly MIMO radar, and wave propagation channel modelling is highly desirable. We place particular emphasis on your ability to apply an interdisciplinary approach to problem-solving or your willingness
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embodied agents (e.g. robots) that can fluidly integrate into visitor interactions. Some aspects that can be of focus can include how embodied AI can facilitate group engagement, scaffold learning, and
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European Marie Sklodowska-Curie Doctoral Network FADOS. The successful candidate will join a cohort of 17 doctoral students based at 16 research groups in Europe and the UK. About FADOS: FADOS, Fundamentals
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join a cohort of 17 doctoral students based at 16 research groups in Europe and the UK. About FADOS: FADOS, Fundamentals and Applications of Doped Organic Semiconductors, is a consortium composed of
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convolutional neural networks by exploring transformers, implicit neural representations (INRs), and hybrid architectures that integrate physical priors such as periodicity, symmetry, and long-range correlations
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taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping University