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design, psychometry, and statistics required for psychological research, plus spoken and written English at a high level. Entitled to be admitted to the PhD-program is anyone who meets the conditions for
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theory, estimation theory, and statistical learning, with the aim of generating new ideas that can be applied to a broad range of dynamical systems. The theoretical development will be grounded in key
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, medicine, biomedicine, statistics or computer science, or a similar background. - have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent
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sets and statistical analysis, manuscripts preparation. The student will receive a thorough education in molecular biology, zebrafish husbandry, fluorescence microscopy and handling of large datasets
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problem-solving are essential. Additional qualifications Experience and courses in one or more subjects are valued: statistical machine learning, optimisation, linear algebra, deep learning, natural
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to independently analyse data and to develop scientific texts on a scientific basis Knowledge of advanced statistical and machine learning techniques Experience in developing data visualization. Additional