56 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Nature Careers in Worldwide
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and Power Engineering, Energy and Environment. Major Responsibilities The successful candidates will be expected to: Deliver exceptional education, both independently and collaboratively
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, Financial Engineering. Major Responsibilities The successful candidates will be expected to: Deliver exceptional education, both independently and collaboratively, for undergraduate and postgraduate courses
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, Financial Engineering. Major Responsibilities The successful candidates will be expected to: Deliver exceptional education, both independently and collaboratively, for undergraduate and postgraduate courses
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the following fields: 1. Computer Science and Data Science This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing
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biological discovery, programmable biology, and AI-integrated experimentation. Through this program, AITHYRA aims to build a global faculty network that bridges computational and experimental sciences
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and Power Engineering, Energy and Environment. Major Responsibilities The successful candidates will be expected to: Deliver exceptional education, both independently and collaboratively
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recruited within the AI4Science Group at the Department of Computer Science, Faculty of Science, Technology and Medicine. The ECI PhD candidate will perform prioritized Non-Targeted Analysis across diverse
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Engineering. Major Responsibilities The successful candidates will be expected to: Deliver exceptional education, both independently and collaboratively, for undergraduate and postgraduate courses; Achieve
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their passion and determination? We are currently seeking a/an University assistant predoctoral 53 Faculty of Earth Sciences, Geography and Astronomy Startdate: 01.04.2026 | Working hours: 30 | Collective
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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
Job Description The Image Quantification and Artificial Intelligence (IQAI) Collaboratory is the technical engine of the Intelligent Imaging Informatics (I3) Section within the Department