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knowledge of machine learning and artificial intelligence experience working with biobank data developed analytical skills and the ability to independently solve problems in multidisciplinary teams work
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return of the absent employee. The candidate is expected to teach at the university level (mostly in the area of research methods and educational psychology / inclusive education). Active engagement in
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, particularly in data analysis from particle collider experiments, as well as development and testing of silicon detectors. Experience in the application of machine learning methods and work within international
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condition: work experience related to modular curves, Galois representations, modular forms or machine learning for number theory. The supporting evidence should include a list of published papers
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to enroll in a PhD program Preference will be given to candidates with knowledge and skills in the following areas: machine learning and neural networks, including LSTMs and explainable artificial