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Field
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aim to uncover the drivers of pathological remodeling. In parallel, we are interested in the regenerative capacity of vascular tissues and the potential for cellular reprogramming to restore function
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | 2 months ago
), and parallel computing. Strong experience with containerization and virtualization technologies for scientific workloads (VMware, KVM, Docker, Apptainer). Familiarity with machine learning frameworks
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Łukasiewicz Research Network – PORT Polish Center for Technology Development | Poland | 2 months ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description The Quantitative Virology Research Group in Łukasiewicz–PORT invites
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-throughput processing. Enhance the computational efficiency of compute environments by optimizing resource allocation (including CPU/GPU utilization), parallelizing data pipelines, and resolving processing
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) Established Researcher (R3) Application Deadline 31 Aug 2026 - 22:00 (UTC) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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Intelligence, Machine Learning, Data Science, Security and Privacy, Parallel and Distributed Computing, Deep Learning, Internet of Things (IoT), and Algorithms. Successful candidates will hold a joint
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implements: Algorithms and computer software for omics-based data sets (high-throughput, massively parallel genomic/proteomic/clinical). Data management and analysis solutions that aid in the storage
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the development towards this end of efficient, highly parallel software running on commodity hardware. Novel methods to compute the stray field from magnetized material with attention to interface and
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software in high-performance computing (HPC) environments. Experience with parallel and accelerated computing frameworks (e.g., OpenMP, MPI) and familiarity with GPUs and large-scale storage systems. Strong
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: 285643185 Job Type Full-Time Overview The Lead Systems Engineer for High Performance Computing (HPC) and Artificial Intelligence (AI) works as part of the Advanced Systems team within Research Computing