Sort by
Refine Your Search
-
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
-
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
-
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
-
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
-
or advanced statistical models. Solid experience in advanced programming in R and Python is also required. Applicants must have expertise in the following tools: - Git/GitHub; - API development; - IDEs such as
-
position within a Research Infrastructure? No Offer Description This project seeks to fill knowledge gaps to strengthen adaptation strategies with a focus on equity and sustainable development. The research
-
Research Foundation (FAPESP), starting 02/01/2026, within the project “Development of innovative formulations to optimize the efficacy and safety of dental bleaching.” Applicants must hold a PhD in Dentistry
-
function, and impact on virus-host interactions. In vitro and in vivo mouse models will be developed to study the effects of OROV microRNA expression in placental cells and the impact on vertical
-
this dataset and integrate it with literature data, aiming to build a comprehensive view of galaxy formation and evolution. The position starts on January 1, 2026, for 18 months. The postdoc will work with the
-
(“Autonomous System for Hybrid Hyperspectral-SAR Monitoring in Precision Agriculture”, Supervisor Prof. Hugo Hernández Figueroa, and “Development of Methodology and Robust Operational Algorithms for Hybrid