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our website: https://www.list.lu/ How will you contribute? As part of a major European project on high‑performance, multifunctional textile materials, the Luxembourg Institute of Science and Technology
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. The successful candidate will be employed at the Department of Computer Science of the University of Luxembourg and have access to high-performance computing resources suitable for large-scale machine-learning and
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, the institute houses six research departments, multiple Nobel laureates, a top-ranked graduate school and a leading postdoctoral training program. Scripps Research encompasses two elite and highly innovative
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of 5G Standalone network capabilities for demanding healthcare services, including service prioritisation and performance monitoring. • Defining and applying an evaluation methodology for real deployments
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strains. Insights generated from this work will directly inform and accelerate our synthetic biology strategy to enable the introduction of novel metabolic capabilities into high-performance crop varieties
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OmniTrap MS Curate high-quality MS/MS datasets and perform detailed fragment ion interpretation Collaborate with computational researchers on downstream data interpretation and methodological refinement
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Two postdoctoral positions (3-year) in Experimental Evolution of Methanogenic Microbiomes in Bioe...
pipelines in bioelectrochemical reactors defining and comparing high-performance phenotypes comparative and functional omics of the communities linking genotype and function to system-level performance
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As part of our team, we are seeking a highly motivated postdoctoral fellow to lead the performance of novel spatial and single-cell profiling in combination with genome-editing approaches in high
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responsibilities for talent cultivation, research outcomes, independent business operation, contribution to public research, and engagement in clinical medical research. The untapped potential in Beijing’s
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-EM sample preparation, data collection, and high-resolution structure determination • Process and refine complex cryo-EM datasets using strong computational skills (RELION, cryoSPARC, etc.) • Conduct