37 software-engineering-model-driven-engineering-phd-position "https:" positions in Mexico
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Build the science that shapes the future of human health. Application closing date: 01.05.2026 Join a place where ambitious science thrives Human Technopole (Milan) is a rapidly expanding life
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of medicine with engineering, sciences, and the humanities and by drawing on the experience of medical education models both in China and abroad, the School of Medicine is striving to build itself into a base
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Suzhou Campus. The school is established on the strong foundation of NJU’s national “Double First-class” disciplines including Physics, Geology, Chemistry, Materials Science and Engineering, and Mining
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Build the science that shapes the future of human health. Application closing date: 01.02.2026 Join a place where ambitious science thrives Human Technopole (Milan) is a rapidly expanding life
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service is highly desirable. Candidates who have recently obtained their PhD with exceptional achievements may also be considered. For the positions of Chair Professor, Professor, and Associate Professor
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, but are not limited to: all major branches of engineering, life sciences, mathematics, chemistry, physics, and inter-disciplinary fields. For more information, please visit: https://en.westlake.edu.cn
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. All application materials must be prepared and submitted in English via https://apply.interfolio.com/148697 . Completed applications will be reviewed on a rolling basis and accepted until the positions
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, computer science and technology, intelligent science and technology, among others. (2) Talent System and Benefits Position Term of Employment (years) Annual Salary (CNY, pre-tax) Researcher 5 500,000-600,000
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□ Job Description Korea Institute of Energy Technology(KENTECH) is currently solicitating applications for several tenure-track faculty positions. Successful applicants are expected to develop and
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methods and research software empower modern biomedical research. Your mission As a Postdoc you will help build the next generation of multimodal and explainable AI models for personalized risk prediction