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. Responsibilities and qualifications The nature of this project suggests that you should have a strong interest in the mathematical and theoretical aspects of machine learning. A solid background in mathematics (e.g
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quantum field theory and path integrals. The successful candidates will be expected to have: MSc degree in mathematics, mathematical physics or theoretical physics – to be obtained before 1 August 2025
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transcripts and BSc/MSc diploma (in English) including official description of grading scale You may apply prior to obtaining your master's degree but cannot begin before having received it. Applications
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in English in one PDF file. The file must include: A letter motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma (in English) including official description
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individual with a MSc degree in computer science, mathematics, chemistry, computational biology or a related subject. The ideal candidate has familiarity with one or more of the following areas: algorithmics
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of BSc and MSc. Qualifications MSc graduates with a background in either engineering, mathematics, computer science, computer engineering, physics, sustainable energy, electro-chemistry, and related
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of BSc and MSc. Qualifications MSc graduates with a background in either Engineering, Mathematics, Computer Science, Computer Engineering, Physics, Sustainable Energy, Electro-chemistry, and related
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individual with a MSc degree in computer science, mathematics, chemistry, computational biology or a related subject. The ideal candidate has familiarity with one or more of the following areas: algorithmics
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with international research bodies, academic institutions, and industry. Follow and complete selected courses. Assist in teaching courses and co-supervision of BSc and MSc. Qualifications MSc graduates
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mathematics, particularly topology and category theory, as well as some knowledge of quantum field theory and path integrals. The successful candidates will be expected to have: MSc degree in mathematics