28 computer-science-programming-languages-"the"-"FEMTO-ST-institute"-"UCL"-"O.P" positions at XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU) in China
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. Adequate research funds, and university’s supports to apply for national, provincial and municipal talent programs. Requirements: Ph.D. in Computer Science, Mathematics, Cryptography, or closely related
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, provincial and municipal talent programs. Requirements: Ph.D. in Mathematics, Cryptography, Computer Science, or closely related areas. Proven track record of research in post-quantum cryptography, or a
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, At least 6 years related extensive full tme teaching experience in higher educaton in English with high evaluaton. Desirable Qualifcatons/Experience Curriculum design and programme development
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research funding. Fluency in English. DESIRABLE QUALIFICATIONS/EXPERIENCE: Experience in conducting research supported by national-level research funds. Experience in academic programme design and
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background, academic/research field, research achievements, working experience, etc. The university will provide full support on the applications. Talent/Research Program Fund Outstanding Youth Science
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health to help support our academic programme/research growth and development in this area. Ideal candidates will demonstrate a track record of impactful research contributions in one or more of the
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at all levels, as well as the PhD programme. Research interests in the Department of Physics currently include particle physics, condensed matter physics and materials science, dynamical systems
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of research funding. Fluency in English. DESIRABLE QUALIFICATIONS/EXPERIENCE: Experience in conducting research supported by national-level research funds. Experience in academic programme design and
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programme that the School has launched for the Academic Year 2019/2020 is BEng Intelligent Robotics Engineering with Contemporary Entrepreneurship. Industry Partner Overview Siasun is the international
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Department of Intelligent Science: Natural language processing, Machine translation, Information extraction, Machine learning, Computer vision, Pattern recognition. RESPONSIBILITIES Applicants will have