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PhD Scholarship in Big Data and Analytics for Crop Genetics Modern agriculture and biomedical research are driven by the availability of big data and the development of data science. The recent
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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University, you will build models and methods to parse natural language questions into geo-analytical workflows, combining NLP and semantic representations to improve how complex spatial questions can be
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of topics is covered, from large-scale data management to data mining and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics
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/Electrical Engineering, or a related discipline. Experience with programming languages (preferably Python, C/C++). Strong analytical and problem-solving skills; motivated to conduct high-quality research with
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fields: Business Administration Computer Analytics / Artificial Intelligence Primary Education Early Childhood Education Requirements: PhD degree in the relevant field Fluency in English (teaching medium
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, this position will require full-time physical presence at the at the NRC work location identified. The Role We are seeking a Team Lead specializing in Natural Products and Analytical Chemistry to support our
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Analytics research group at the Catalonia Institute for Energy Research (IREC) is looking for a senior researcher (R2) to join our team and contribute to the development and integration of advanced algorithms
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, such as master's degree and 1-3 years of related work experience in quantitative analytical chemistry methodologies including chromatographic separations, mass spectrometry, analytical method design, use
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numerical simulations using a GRMHD-PIC technique, which allows to track VHE ions on the fly. These simulations will be supplemented by cutting-edge analytical methods for injecting particles onto the grid