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: Develop and evaluate architectural models, system-level simulators, and performance modeling frameworks for QHPC systems, capturing relevant characteristics of quantum processing units, classical HPC
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also to wider democratic challenges, including growing polarization and declining trust in political institutions. In parallel, a majority of the Danish population supports climate and environmental
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Biological & Life Sciences Division – Postdoc Researcher: AI for Precision Medicine and Therapeutics
MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Dhabi Kalan, Haryana | India | 13 days ago, statistics, machine learning, programming in C, C++, Python Scripting languages and MATLAB, using a parallel computing environment Bioinformatics, network biology, network medicine, network analytics, AI, ML
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yeast Mif2/CENP-C promotes inner kinetochore assembly. Current Biology. https://doi.org/10.1016/j.cub.2023.01.012 (link is external) Drug Discovery: New Therapeutic Mechanisms In parallel, we use
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. Knowledge of porting CPU-based CFD and multiphysics codes to heterogeneous HPC architectures. Experience in performance analysis, profiling, and optimization of parallel applications using tools such as
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team (other PDRAs and PhDs) led by Professor Evers at LJMU but also collaborate more widely with both the project team and parallel projects the LJMU team is working on linked to sustainable management
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of first-author publications in reputable peer-reviewed journals Demonstrated self-initiative and motivation, ability to collaborate, organize parallel experimental workflows, and interpret and present
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the pharmacological industry; prospects for a career in academic or industry are high. In parallel with this effort, we are also working on anti Iglon-5, an HLA-DQ5 associated autoimmune disease
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non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning models of regulatory grammar. Responsibilities
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predict molecular subtypes and therapeutic responses. These tools power a precision oncology framework that enables data-driven treatment selection. In parallel, we generate patient-derived 3D