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opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel
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. Familiarity with high-performance computing (HPC) environments and parallel computing tools (e.g., SLURM) is essential, as the project will leverage IMN's Tier-3 cluster and regional mesocenters. Experience
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to the development and characterization of advanced human stem cell-derived models, including organoids and Forebrain Chimeroids, as well as the analysis of endogenous prenatal human tissue. In parallel, you will
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involve developing an approach that uses Knowledge Organization (KO) metadata and ontologies to optimize parallel processing and scheduling policies (via Kubernetes) for Machine Learning tasks. The fellow
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.2023.01.012 (link is external) Drug Discovery: New Therapeutic Mechanisms In parallel, we use structural biology as a foundation for discovering new therapeutic mechanisms. Our work focuses on using chemically
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fluorescent microscopy approach undertaken in parallel inthe Uphoff lab. You will be working in a modern laboratory environment for protein purification, microbiology & molecular biology. Central Oxford cryo-EM
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abilities Experience in massive parallel computations on HPC systems. Specific Requirements How to apply Applications should be sent to: recruitment@cft.edu.pl , by 20.06.2026, with the reference number (“AJ
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direction is the generalization to parallel GPU computations. Task 4: Correctness evaluation of quantum communication systems and quantum protocols. This task will include approaches such as statistical model
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analysis methods for realistic CO2 electrocatalysis, with a focus on parallel investigations and accelerated aging. Dissect degradation processes of CO2 electroreduction catalyst, electrodes, and ionomer
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for the generation of clean H2 from non-ideal water streams, looking at oxygen evolution and parallel purification reactions. The candidate(s) will also work with the team to scale-up of the system in area, number