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Field
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. We are contributing to the High Energy cosmic-Radiation Detection (HERD) experiment, a next-generation detector for the Chinese Space Station. In parallel, we pursue R&D for future gamma-ray missions
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of transgenic plants. - Experience in plant tissue culture and genetic transformation is highly desirable. - Experience in Bioinformatic analyses. - Writing articles and grants. - Previous experience in
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the postdoctoral contract. Applicants must possess a high-quality research trajectory and a competitive publication track record. Skills: RNA biology. Cell biology. Molecular biology. Bioinformatics. Experience
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analysis of single cell multi-omics data. The researcher will have the support and resources from the Bioinformatics Unit at VHIO. Responsibilities Analyze and integrate high-throughput sequencing data
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essential, biomedically highly relevant, and complex process of cellular differentiation. Our group studies adult hematopoiesis using computational biology, single cell genomics and genetic screens. We cover
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molecular dynamics simulations across multiple resolutions, most likely from the atomistic to the coarse grained level, using a variety of force fields and computational methods. Run large-scale simulations
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | about 1 month ago
connections. • Analytical validation and on-body assessment. Skills • Strong academic leadership and team management. • Ability to manage multiple projects effectively. • Excellent English communication skills
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processes. Performing benchmarks in HPC machines in Japan and carrying optimizations to improve performance of the codes. Execution of simulations in top HPC facilities, both in Europe and Japan. Contribution
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Description Research project: CONTEXT DEPENDENT INTERACTIONS IN COMPLEX SYSTEMS: DYNAMICAL PROCESSES PID2024-158120NB-C22 Exhaustive analysis of bibliographic data bases within the framework of the research
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atoms. The experiment aims to study for the first time fundamental light-matter interaction processes at the single-particle level. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail