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for process improvement projects General team and lab duties-first time doing activities will be done in parallel to Tissue Culture Techniques (5%) Processing of blood and tissue samples from Human and Nonhuman
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results by 15 January 2026. Founding Source: Project „Dynamics of processes around compact stars” is funded by NCN (contract number: 2023/50/A/ST9/00527). Project website: https://ra.cft.edu.pl/ About us
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, parallel storage systems and scientific data management. Recent research project details and outcomes can be found in computer systems conference proceedings, such as HPCA, FAST, SC, DSN, HPDC, IPDPS, and
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research: Plant Phenotyping, Image Analysis, About UM6P: Mohammed VI Polytechnic University (UM6P,https://www.um6p.ma/en ) is an international higher education institution, established to provide research
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. Work in interdisciplinary collaborations with subject matter experts on various aspects of scientific data generation and processing and methods evaluation. Formulate high-quality research ideas and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
for extension based on mutual interest. We are looking for individuals with a strong theoretical and practical background in large language models, machine learning, and natural language processing, combined with
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of the 3D Biology research programme at the Radboud university medical center. You will also collaborate closely with scientists at HUB Organoids who are running parallel programmes and with researchers
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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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team of undergraduate/postgraduate researchers. Candidates should be able to multitask parallel evolution experiments with phenotypic and genomic analyses. Job Duties and Responsibilities: Typical tasks
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leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration