1,356 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions at Nature Careers
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collaboration across disciplines, strengthens partnerships with industry and society, and nurtures a thriving global network, who spearheads advancements in AI & Machine Learning, Data Science, Environmental
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for a changing world. Building on this remarkable heritage, DSU has emerged as a global center for higher learning where tradition meets innovation. With a strong focus on research, entrepreneurship, and
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(History, Archeology, …). Expected skills: The candidate should have a graduate degree (Master 2 degree). Him/her scholar background should include: • statistical/machine learning, statistical inference
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, military branch, conflict counselling). Experience in data entry and working in emergencies and fast pace, stressful environment. Some experience with computer systems, including Microsoft Office (Word
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, as well as knowledge exchange. Our expectations International experience in teaching and research, a very good command of the English language, and the ability and willingness to teach in English are
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(EHR), health information exchanges, and data analysis software. Experience with health IT innovation, including working with artificial intelligence, machine learning, telemedicine, or mobile health
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(such as a laptop computer or tablet). Work may involve possible exposure to malodorous vapors, low dose radiation, contamination by toxic chemicals and acids and presence of carcinogenic substances or other
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research. Initially, jET interns will be dedicated to learning engineering tools and best practices by assisting staff engineers and scientists in ongoing work. Later on, jET interns will be expected to work
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no.: 5342 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international
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to integrating computational simulation, data science, and deep learning technologies to deeply explore structure–property relationships in materials. Its goal is to drive the precise design and development of new