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professionals across clinical operations, scientific coordination, facilities, and research management. In parallel, the FPM professionals provide management and administrative support, ensuring a strong
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algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML
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on the production and in vitro characterization of several enzymes in parallel (proteases and hydrolases). This research programme is part of an international effort to answer the call for the development of new
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(HPC/parallel environments), and open/reproducible release of data and analysis scripts under FAIR principles. Dissemination through high-impact journal publications and conference presentations in solar
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
. - COMPETE2030-FEDER-00731800, Operation No. 16163, funded by COMPETE2030 and national funds (FCT) under Notice no. MPr-2023-12. Host Institution: i3S - Instituto de Investigação e Inovação em Saúde, Porto
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algorithms will be assessed for neurodegeneration mapping in Alzheimer’s disease brain organoids. In parallel, the technology and algorithms will be applied to fish health research, supporting studies on ulcer
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modern high performance computation facilities and parallel computing clusters (CPU and GPU). Excellent publication record and demonstrated conference presentation skills. Demonstrated ability to operate
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international team the work at Otago is focused on the production and in vitro characterization of several enzymes in parallel (proteases and hydrolases). This research programme is part of an international
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parallel screening platform to discover orthogonal protein binders. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing
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. Qualifications: Familiarity with machine learning interatomic potentials, CPU and GPU parallelization, knowledge of LAMMPS and molecular dynamics, experience with first principles calculations of dielectric and