33 algorithm-development-"The-University-of-Edinburgh"-"The-University-of-Edinburgh" positions in Brazil
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: • Bachelor's degree in Economics and/or Social Sciences; • Doctoral dissertation focusing on PNRA Rural Settlements; • Research experience in Public Policy; • Research experience in Technological Development and
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using methodologies recently developed by our group; and (3) exploring the star–disk interface through LSST light curves, spectroscopic and polarimetric follow-up, and hydrodynamic simulations. Candidates
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experience in Hyperbolic Partial Differential Equations (PDEs) (or more generally in evolution equations) in the sense of Petrowsky, and who have defended their PhD for a maximum of 6 years. Selection criteria
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Be stars via AI/ML tools applied to LSST multi-band data; (2) characterizing disk formation and dissipation events using methodologies recently developed by our group; and (3) exploring the star–disk
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State University (UNESP) in São José dos Campos, Brazil. The researcher will develop innovative methodologies for flood risk analysis, focusing on the integration of multi-source data, including optical
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to be developed by the postdoctoral researcher will focus on proposing an innovative approach based on semantic segmentation with deep neural networks for the identification of multiple facies classes in
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(BBA) Program across Brazil. This role combines Business Development, Sales and Customer Experience through engaging with prospective students, agents, counselors, and parents. KPIs include year over
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Hult's top-ranked four-year Bachelor of Business Administration (BBA) Program across Brazil. This role combines Business Development, Sales and Customer Experience through engaging with prospective
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with the main objectives of the projects, meaning he/she must: 1. Develop and optimize end plates for solid oxide fuel cells (SOFCs) using multiphysics topology optimization, aiming to ensure structural
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and pasture phenotyping, focusing on the use of advanced remote sensing technologies as drones and satellite imagery. The fellow will develop phenotyping tools and protocols to identify traits