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available1Company/InstituteTU DelftCountryNetherlandsCityDelftPostal Code2628CDStreetMekelweg 5 Contact City Delft Website http://www.tudelft.nl/ Street Mekelweg 2 Postal Code 2628 CD STATUS: EXPIRED X (formerly
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quantitative discipline. You will have experience analysing complex, high-dimensional datasets and applying quantitative or computational methods, together with strong programming skills in Python or a
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Research Associate, Cellular and Molecular Medicine Posting Number req26354 Department Cellular & Molecular Medicine Department Website Link https://cmm.arizona.edu/ Location Tucson Campus Address 1501 N
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the study of rare-earth nickelates in the infinite-layer phase, either partially or fully reduced. Partial reduction of these materials could lead to the emergence of new electronic and structural properties
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, biomedical informatics, genomics, systems biology, quantitative biology, or a related field. Demonstrated experience analyzing genomic, transcriptomic, or other high-dimensional biological datasets
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that focuses on the manipulation of collective spin excitations in magnetic materials. The use of magnons for classical or quantum information transport is being considered as a long-term prospect. In
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modelling of high-dimensional datasets. Experience in basic computational methods (e.g. R, Python, and/or other programming languages) Experience in developing computational analysis pipelines Experience with
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. The postholder will contribute to the systems vaccinology and systems biology workstream of the programme, performing the analysis and integration of high-dimensional immunological and clinical datasets generated
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for offshore CO2/CH4 gas separation, within the scope of OTIC's NPO.2 project . The central goal of this work is to enable the simulation of flows under metastable condensation conditions combined with gas
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 14 days ago
geomorphic parameters, alongside active SAR/radar platforms (NISAR, UAVSAR (AfriSAR-2), BIOMASS) for structural biomass and inundation profiling. Complementary Multi-Mission Datasets: Integrating spectroscopy