615 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Nature Careers
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· Foundational software and systems · Internet of Things and Industrial Internet · Cloud computing and big data · Cyberspace security; privacy and trustworthy systems · Advanced AI (including frontier AI systems
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AI leaders, driving innovation and impactful applications of AI through world-class education and interdisciplinary research. In 2025, MBZUAI launched its first ever undergraduate program, a Bachelor
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Engineering, Computer Science, Computer Engineering, Information Systems, or a closely related field. Technical Expertise in one or more of the following areas: Software architecture and design patterns
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, scoring functions, predictive models or quantum chemistry Machine learning or AI frameworks applied to molecular discovery. Familiarity with cloud or high-performance computing environments. Experience
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Tenure-track Assistant and Associate Professorship positions in Data Science and Machine Learning...
cheminformatics, differential privacy and cryptography. Artificial Intelligence, Cybersecurity and Programming Languages , focusing on choreographic programming, distributed computing (cloud, edge, IoT
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M.Sc. (plus PhD preferred) in a quantitative field such as Bioinformatics, Computational Biology, Statistics, Computer Science, or a related discipline Proven experience in analyzing and integrating
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discovery and innovation in biotechnology, genomics, and computational biology. At the VIB Data Core, we empower scientists by delivering advanced infrastructure and services that tackle complex challenges in
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. Expertise in bioinformatics and data analysis, including: Proficiency in Python and R programming languages Experience building scalable and reproducible scientific workflows Understanding of cloud computing
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the field, ideally with a PhD Background knowledge in cancer genomics Proficiency in Bash scripting and R and experience with cloud computing (required) Proficiency in Python and Git (preferred) Ability
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. Access an analytical ecosystem; cloud compute, engineering support, wet-lab validation pipelines, and established multi-omics workflows, allowing postdocs to focus on conceptual and scientific innovation