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-represented backgrounds. The objective of the research project is to perform Bayesian inversion to characterise the velocity field of 3D partial differential equations describing brain fluid and solute movement
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organization. We invite applications from motivated candidates with passion and a strong interest in conducting research and innovation activities on crop modeling, remote sensing, and computer vision to predict
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dichroism and fluorescence. Cell culture, cell viability, cell staining, WB, ELISA and immunoprecipitation. Although this is a permanent contract, it is estimated that the tasks specified above will be
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FieldComputer scienceEducation LevelMaster Degree or equivalent Skills/Qualifications Bachelor’s degree in Mathematics, Statistics, Computer Engineering, or other related engineering fields. Master’s degree in
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gastrointestinal digestion of olive oil. - Evaluation of bioavailability of bioactive compounds. - Estimation of anti-inflammatory potential using cell lines. - Data management and analysis for a nutritional
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processing (computer vision & machine learning) Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research FieldEngineering » OtherEducation LevelMaster Degree
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the job offer within 5 working days from the date of notification of the selection. Be aware that the starting date sets in this offer is an estimate date. The official starting date will depend on the time
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Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC) | Spain | 14 days ago
estimations, through the study of surface topography and findings, material culture dispersions, its thorough archaeometric analysis (especially of prehistoric pottery), and associated stratigraphic information
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the date of notification of the selection. Be aware that the starting date sets in this offer is an estimate date. The official starting date will depend on the time necessary for administration to prepare
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of computer-aided design (CAD) software. Specific Requirements Position DC1: We are looking for a highly motivated PhD candidate with strong interest in material science research, in particular in fabrication