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Field
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• Geographic information systems • Collection and processing of mobility data, both in the field and in the office Could collaborate, also, in tasks of: • Development of computer models for transport supply and
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aims at training the future generation of scientists by offering high-quality educational programs to master, PhD students and postdoctoral researchers (full details on http://www.iciq.org
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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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the implementation of the project, including the collection, organisation and analysis of technical, environmental and socio-economic data, as well as to the development of indicators; ii) collaborating in activities
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looking to hire a research assistant to work with her at the Barcelona School of Economics on a project studying the impact of parental time on child development. Given the lack of an adequate and recent
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Description PROJECT DESCRIPTION Objectives: To develop a robust automated identification, classification and quantification (ICQ) methodology for meso-/macro-scale defects in composite laminates, using
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function of these cells, we combine directed differentiation of human pluripotent stem cells, in vitro and in vivo models of human normal and leukemic development, and state-of-the-art epigenomic and
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the following tasks associated to the Pro-PTES project: Development of simulation models of CSP-PV hybrid plants with PTES integration. Development of neural networks for system optimization. Selection and sizing
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are responsible for triggering relapses. Furthermore, we work to identify new therapeutic targets and develop more targeted, less toxic therapies. To achieve this, our laboratory uses various approaches, including
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under the ERDF Galicia 2021–2027 Operational Programme (Specific Objective 1.1: Developing and enhancing research and innovation capacities and the uptake of advanced technologies) of the Regional