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strategic management and strict adherence to security protocols. We are looking for candidates with extensive experience in either classified HPC data center operations, architecture, parallel computing
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Learning codes using high performance computing (HPC)” Specifically, the candidate will carry out research tasks for the design, implementation, and evaluation on HPC systems of parallel algorithms in
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simulation environment. Contribute to the implementation of search systems and optimization of the parallelization of AI models or system topology to minimize time and energy consumed. Where to apply Website
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 18 hours ago
expulsion Symbiont integration Close collaboration with parallel efforts in: Metabolic profiling Transcriptomics Your Profile Master’s degree (or equivalent) in biology, marine science, molecular biology
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 18 hours ago
: Symbiosis formation Symbiosis breakdown Close collaboration with parallel efforts in: Cellular signaling Transcriptomics Your Profile Master’s degree (or equivalent) in biology, marine science, molecular
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smoothly by managing reagents and supplies and performing genomic assays and assisting with long read Nanopore sequencing, functional genomics, RNA IP, RNA probe synthesis and Massively Parallel reporter
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. In November 2020, 6GIC was officially launched with parallel research undertaken in both 5G+ and 6G for 2030+. About you The successful candidate must have: Deep understanding of MIMO and massive MIMO
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Jupyter Notebooks/VSCode; - Parallel programming and integration with databases (e.g., SQL, APIs). Candidates should also demonstrate interest in interdisciplinary collaboration (engineering, epidemiology
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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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generate a genome-wide overview of translational regulation during development. In parallel, you will uncover the mechanisms that control localized and cell-type-specific translation, and how these change