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Field
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integrating passive radio frequency and optical data for space object characterisation. Looking forward, the programme is building towards a next-generation distributed observatory that fuses optical, radio
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Date July 8, 2026 Note: Applications will be accepted until 11:59 PM on the Posting End Date. This position is subject to the satisfactory completion of required background checks Job End Date July 31
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The DeepWave industry-funded consortium is looking for two outstanding postdoctoral researchers to undertake impactful research on the development and application of cutting-edge machine (deep
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distributed as 25 % each year and will consist of teaching and other duties, such as secondments and interactions with the industry or the public sector. The objective of the position is to complete research
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members on all the WPs, yet with clear distribution and responsibility of tasks. In addition to the PI and the PhD candidate, the project is in the process of employing one postdoctoral fellow. More about
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invites applicants for a PhD Fellowship in Reservoir Management at the Faculty of Science and Technology, Department of Energy and Petroleum Engineering. The position is vacant from September 2026. This is
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populations and biobanks for risk prediction, genetic discovery, and genomic medicine. Federated and transfer learning for distributed and privacy-preserving data integration. AI and Deep learning approaches
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appointment. If a 4th year is granted, one year of career-promoting work associated with teaching, dissemination or research infrastructure/services, will be distributed over the full employment period and thus
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cloud platforms for compute and storage. Version Control & CI/CD: Git, automated testing, deployment workflows. Experience with Linux systems, HPC, and distributed computing environments. Knowledge
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external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g., Unity3D, OpenAI Gym, WebGL) is advantageous. Experience in developing and deploying cloud