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management of HPC systems within a classified environment. We are looking for candidates with experience in HPC architecture, cluster management, and parallel computing, with a proven ability to work within
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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21 Jul 2026 Job Information Organisation/Company Max Planck Institute for Marine Microbiology Research Field Environmental science Computer science Researcher Profile Recognised Researcher (R2
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partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization
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that govern these processes, we 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
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well as experience with HPC environments and parallel computing. Demonstrated hands-on experience and understanding of developing scientific data management, workflows and resource management problems. Strong problem
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to the PI and contribute to discussions and direction of studies in the lab. Compile, analyze, and interpret research data using various computer software applications. Prepare manuscripts, reports, reviews
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. Parallel programming expertise. Experience developing research software outside of core domain knowledge. Experience working with cloud computing platforms (especially AWS). Experience with Docker and
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within the department. Job Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic
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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