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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Description The Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a motivated and passionate post-doctoral associate to work under the
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Communications and and support the University's external visibility through the development and distributions of timely, engaging news content. This role focuses on executing day-to-day communications efforts
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engagement, FIU is redefining what it means to be a public research university. The Junior Interaction Designer designs simple, human-centered experiences across mobile, web, desktop applications, print
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with considerable interaction with public/customers. Working knowledge of general office practices. Skill utilizing word processing and data entry software. Excellent proof-reading skills, good attention
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academic mentoring of trainees at all levels is also expected. 【Application】 Applicants should submit their application via the official recruitment website: https://talent.sigs.tsinghua.edu.cn/recruit-fg
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. Department of Cybernetics https://cmp.felk.cvut.cz/~svoboda/ Short description Robust machine control assumes modeling of robot-environment interactions. An example may include an outdoor autonomous ground
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. Position requires someone with a positive outlook who enjoys serving and helping others and who wants to be a member of a busy, highly interactive team. Proficiency in Microsoft Outlook, Word, and Excel, and
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teaching on the interaction between medicine, society, and politics using interdisciplinary and transdisciplinary approaches. The professorship is intended to give visibility and conceptual clarity
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Department of Defence Treat Reduction Agency (DTRA) funded project titled ‘Iterative simulation, artificial intelligence and machine learning-guided design of cyclic peptide aptamers based on structural
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Department of Defense Threat Reduction Agency (DTRA) funded project titled ‘Iterative simulation, artificial intelligence and machine learning-guided design of cyclic peptide aptamers based on structural