28 computer-science-programming-languages-"the"-"FEMTO-ST-institute"-"O.P"-"U" positions at XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU) in China
Sort by
Refine Your Search
-
. 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
-
, 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
-
, 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
-
research funding. Fluency in English. DESIRABLE QUALIFICATIONS/EXPERIENCE: Experience in conducting research supported by national-level research funds. Experience in academic programme design and
-
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
-
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
-
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
-
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
-
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
-
Department of Intelligent Science: Natural language processing, Machine translation, Information extraction, Machine learning, Computer vision, Pattern recognition. RESPONSIBILITIES Applicants will have