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areas of nanoscience and nanotechnology. Job Title: Postdoctoral researcher - Theoretical and Computational Nanoscience Group Department: Theoretical and Computational Nanoscience Description of Group
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Postdoctoral Positions in ‘Development, Stem Cells and Tissue Regeneration’ Lab of Prof. Yuval Rinkevich Positions are available for outstanding and motivated individuals with Ph.D degrees in
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for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
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or equivalent Skills/Qualifications Technical Skills: Hydrological analysis and modeling. Spatial analysis using GIS. GIS software (QGIS, ArcGIS). Hydrological modeling software. Processing and analysis
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applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https://www.cragenomica.es/sites
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cancer metabolism, with particular expertise in the study of tumor metabolism, as well as proven experience in the establishment, culture, maintenance, and characterization of tumor organoid models and
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, and methodologies from the collected materials, using Qualitative Comparative Analysis (QCA) and topic modeling Autonomous management of data collection and analysis activities Co-authorship of academic
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Computational Nanoscience group at ICN2 develops theory, models and large-scale simulation tools for quantum transport, spin dynamics and emergent computing in low-dimensional materials, in close contact with
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Policy aims to improve the estimation of health and well-being impacts and socio-economic costs of major urban environmental hazards. The postdoctoral researcher will develop projections of future health
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mechanism of action that does not depend on chemistry at all. The Quasi-Living Materials Research Group is looking for a postdoctoral researcher to determine whether such a mechanism works inside biofilms