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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | about 1 month ago
that focuses on algorithms research. The cluster is known for its research in computational geometry and topology, algorithms for spatiotemporal data, and algorithmic visualization, as well as graph and
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. Supervise students in the laboratory, as well as on field excursions. 6. Train and monitor laboratory users for compliance with basic safety and scientific procedures. 7. Ensure proper maintenance
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complementation (BiFC) approach that enabled the visualization and purification of individual PDGFR dimers, revealing differences in the timing and extent of dimer activation, signal molecule binding
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approaches. Prepare manuscripts for publication in leading international journals. Present research findings at national and international scientific meetings. Contribute to grant applications and
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Sign In Create Profile Visiting Scientific Specialist, Quantitative Hydrology - Illinois State Water Survey, PRI Urbana, IL, United States | 1038275 Apply Now Share Save Job Back to Search Visiting
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Postdoctoral Associate to join the DISCOVER (Digital-Twin Infrastructure Science for Operations and Visualization in Engineering Resilience) Laboratory and become part of an interdisciplinary research team
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statistical modelling and visualization Analyse sequencing-based and potentially other omics data Contribute to experimental planning, data management, manuscript preparation, seminars and scientific
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molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see: https://www.scilifelab.se/data-driven/ddls
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statistical methods for uncertainty quantification in microanalytical measurements. Publish research results in high-impact, peer-reviewed scientific or technical journals. Present findings at external
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) Certifications/Licenses Required Knowledge, Skills, and Abilities Additional skills are a plus: ● Experience working with large and complex scientific datasets and data models ● Experience working with a