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Field
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). Knowledge of high-performance computing or cloud environments for large-scale data. Strong collaboration skills and ability to work in interdisciplinary teams. Special Requirements: Applicants cannot have
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Deadline 29 Sep 2026 - 02:42 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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detection. Familiarity with real-time applications of AI/ML in embedded or IoT devices. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud). Understanding of BMS
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Python coding and cloud computing. Application Process Applications will be reviewed immediately until the position is filled. Interested candidates should email a cover letter, CV, and contact information
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Biology provides access to high-performance computing clusters, a cloud computing environment, innovative visualization tools, highly automated analytical pipelines, and mentorship from faculty scientists
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Mathematics and Mathematical
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full-time position, annual leave 36 days well equipped facilities, the tools required for research: computer farms and cloud computing infrastructure, software, servers, etc. work in active an inspiring
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technologies, including big data analytics, artificial intelligence (AI), remote data transfer, and cloud computing to help solve complex agricultural problems. -The candidate will work on the synthesis
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
”. Different scholars have located the power of clouds in market devices like intellectual monopolies (Rikap) or assetization (Birch), or in infrastructural aspects like computing arrangements for scale (Narayan
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22nd October 2025 Languages English English English Join NMBU’s PheNo project and advance AI-driven modelling in plant phenotyping. Postdoctoral fellow in Computational Plant Genetics and Digital