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Field
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are expected to have an MSc degree in Computer Science or Mathematics. Familiarity with Cryptography, Number Theory, Isogenies, Implementation (proof of concept or advanced) of cryptographic protocols will be
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the Mathematical Institute for Machine Learning and Data Science (MIDS) at the KU Eichstätt-Ingolstadt and is funded by the High-Tech Agenda of Bavaria. The advertised position is funded via the Emmy Noether project
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 1 day ago
and writing of the manuscripts, - Active participation in lab meetings, scientific seminars and conferences. Profile of candidates/requirements: - MSc degree (or equivalent) in molecular biology
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. Job requirements For this position, an ideal candidate should have: Completed a relevant MSc degree in Electrical Engineering, Computer Engineering, Computer Science or any other related field relevant
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MSc in applied mathematics or engineering Strong analytical and numerical skills Knowledge of optimization and operations management Knowledge of programming, possibly Python Preferred knowledge
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science or equivalent experience in compiler design and/or interactive theorem proving, and a track record of relevant scientific publications, whereas at the Research Assistant level must hold a MSc in Computer
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transcripts and BSc/MSc diploma (in English) including official description of grading scale 1 page PhD project proposal You may apply prior to obtaining your master's degree but cannot begin before having
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interest and motivation to apply for a PhD position in our group, please indicate also when you can start the position at the earliest. An academic transcript of BSc and MSc education, including grades. A
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are highly desired. A MSc degree in Mechanical Engineering, Materials Science, Applied Physics, Aerospace Engineering, or similar. A convincing and very strong background in experimental micromechanics
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two-year MSc degree (120 ECTS points or equivalent to a two-year master’s degree) or equivalent in physics, chemistry, materials science, chemical engineering, computer science, applied mathematics