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Field
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: European Citizenships. Towards a semantic analysis of Urban Belonging in Late Medieval Europe (Baltic and Mediterranean areas, 14TH-15TH centuries) Where to apply E-mail carolina.obradors@uam.es Requirements
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researcher will be required with the following competences: ▪The ability to undertake independent research ▪Experience of data analysis in Python, MATLAB or another environment ▪European accreditation to work
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at sea. Proved experience in quantitative video analysis. Proved experience in writing scientific manuscripts and a track record of publications in high-impact international journals. Specific Requirements
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out research tasks within the framework of the project “MATHEMATICAL RESEARCH IN STATISTICAL METHODOLOGY FOR STOCK VALUATION”. FUNCTIONS TO BE PERFORMED: Statistical research: analysis of historical
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. Climate data analysis: including observations and reanalysis products. Professional Experience: Participation in scientific activities (conferences, courses, seminars, etc.) as well as the presentation
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- Astroparticle and Neutrino Physics 3- Experimental Nuclear Physics 4- Development of Advanced Particle Detectors 5- Scientific Computing and Data Analysis 6- Societal and Technological Applications Researchers
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reading and analysis of historical sources. Open and lead the theme of rematriation and the repair of the historical heritage of Tåno’ Låguas yan Gåni. Contribute to the study of Indigenous ontologies and
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research in areas such as underwater robotics, medical image analysis, and artificial perception, aiming to develop innovative technologies with real-world impact and strong links to industry and society
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the neurovascular space. Knowledge of neurovascular anatomy, acute stroke, endovascular treatments, neuroendovascular devices for the treatment of stroke. Ability to generate machine learning analysis of medical
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infections. Experience in the phenotypic and genomic characterisation of enterococcal species, as well as in statistical analysis and interpretation of results, will be considered an advantage. Experience and