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computing infrastructure, integrated into high performance and sustainable services. The successful candidate will work closely with the beamline scientists in order to understand their detector
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computing platforms. In some cases, the computing has outpaced the methods, and it is incumbent upon us to generate novel views of both the entire data collection, and of focused datasets tailored to
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scientific computing environments: Linux, Bash, Git, HPC, containers, reproducible workflows Development of software/pipelines for vast collections of sequencing data on HPC and/or cloud
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD project
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https://www.mtu.ie/vacancies/ Requirements Research Field Computer science Education Level PhD or equivalent Skills/Qualifications Main duties and responsibilities will include, but are not limited
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these positions will be on quantum computing and quantum simulation, quantum networks, and quantum control. There will also be an opportunity to test theoretical results on cloud quantum processors
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interested in candidates with: Experience with web-GIS development or geospatial data visualization. Experience with high-performance computing clusters or cloud-based Earth observation platforms (e.g
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, R) and geospatial tools (e.g., ArcGIS, QGIS ), spatial statistics, or cloud computing Experience working in collaborative research teams Valid driver’s license and be able to successfully pass a
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model predictive control, machine learning, or reinforcement learning. Experience with IoT, edge computing, and cloud integration. Proven ability to contribute to research funding proposals
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career stage. Experience with High-Performance Computing (HPC) clusters, geospatial foundation models, large-scale geospatial processing or cloud-based Earth Observation platforms would be