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POLARIS doctoral network POLARIS is a European Marie Skłodowska-Curie Doctoral Network focused on accelerating therapy development for leukodystrophies: rare genetic disorders affecting the brain's
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
of this research will be on the development of new methods and models that efficiently couple new aircraft designs with new fleet allocation and schedule decisions. Such will enable airlines to minimize fleet-wide
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regime. Local de trabalho / Place of work O(a) Investigador(a) Doutorado(a) prestará o seu trabalho nas instalações do DCEA e MARE-NOVA situado na Faculdade de Ciências e Tecnologia (NOVA FCT) da
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optimal ways to schematize and parameterize the subsurface at local to regional scales to assess dike safety using geological and geohydrological data and models, for characteristic fluvial landscapes in
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of asthma and asthma exacerbation, and long term risks for reductions in pulmonary development and lung function. These health risks can have cascading impacts on academic achievement and socioeconomic
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psychological assessment. The position is intended to strengthen the Faculty's research capacity in the psychological assessment of cognitive and learning-skills domains, including the development, adaptation
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The POLARIS training network POLARIS is a European Marie Skłodowska-Curie Doctoral Network focused on accelerating therapy development for leukodystrophies: rare genetic disorders affecting
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University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. VISIT UC Santa Cruz Job
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, without replacing them: eDNA broadens the detection spectrum but remains less precise locally and in terms of abundance. The reliability of metabarcoding depends critically on solid reference databases
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of response and develop predictive models. The work will involve analysis of large-scale datasets through multiomics integration, machine learning, statistical genetics, QTL analysis and development of genetic