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and staff who are diverse in background and thought, and we support an inclusive environment that fosters interaction and understanding within our diverse community. Position Summary: The Biophotonics
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production and ecosystem services through the rational design and deployment of more efficient root systems. The lab integrates high-throughput phenotyping, advanced imaging, quantitative genetics, gene
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-throughput sequencing technologies (e.g., Illumina, PacBio) and bioinformatics analysis. Solid understanding of microbial ecology, soil systems, and their interactions with plants and the environment
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. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform
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to join our research program focused on Epstein-Barr virus (EBV) oncology. The ideal candidate will investigate the complex landscape of virus-host interactions, specifically utilizing mass spectrometry
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interactions, membrane organization, and mechanics. Research in the lab spans integrins, GPCRs, and related membrane-associated signaling systems. The successful candidate will join a well-equipped structural
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more positivist research approaches can be applied, depending on the proposed research questions and design. The successful candidate will have the opportunity to collaborate with colleagues both within
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how genetic and environmental factors interactions shape mucosal immunity and metabolism. Our approach includes state-of-the-art multi-omics, novel organoid culture, genetically engineered murine models
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 21 days ago
) at the IT4Innovations, in the Material Design group of Dr. Dominik Legut within the Modeling of Nanotechnology Lab, is open to applicants for the SPIN DYNAMICAL CALCULATIONS of the topics of Czech Science Foundation’s
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Innovation: Identify and implement improvements in LES sub-grid scale models or actuator disk/line representations to better capture turbine-atmosphere interactions. Scientific Impact: Lead the authoring