Sort by
Refine Your Search
-
postdoctoral fellowships. 1. Robust Methods for Volatility Estimation with High-Dimensional Data — design, implementation, and computational analysis. Supervisor: Prof. Luiz Koodi Hotta. 2. Forecasting Methods
-
optimization methods to address challenges in agriculture, healthcare, and environmental resource management, improving efficiency, reducing costs, and enhancing sustainability. Focus - We seek a candidate with
-
) and hosted at the Institute of Energy and Environment (IEE-USP). Applicants must have experience in atmospheric numerical modeling, climate data analysis, and extreme events. Applications must include
-
performance in the PhD course; articles in international journals on the subject of the fellowship project; experience in modeling, numerical simulations, and computational programs of chaotic particle
-
). Additionally, experience with molecular and cytogenomics methods is highly desirable. The candidate’s obligations and other information can be found at https://fapesp.br/en/postdoc . The fellowship is open to
-
, and analysis by using concepts and methods from machine learning, including pattern recognition, graphs, and complex networks. ** Specific Research Areas: * Develop concepts and algorithms to analyze
-
reendothelialization assays, platelet adhesion assays, and co-culture and immunomodulation studies. They should also be willing to learn new methods as needed, such as chemiluminescence-based nitric oxide (NO) detection
-
, uncertainty, and digital platforms; - Methods: Gioia, Langley, Eisenhardt, CNA, QCA; structural equation modeling, neural networks; - Fluent communication in Portuguese and English is considered a plus. The
-
and electronic states; • Inductively coupled plasma techniques (ICP-OES/MS) for compositional and elemental analysis. - Familiarity with advanced characterization methods at large-scale facilities
-
incorporating local constraints (stress, displacement, temperature) via the Augmented Lagrangian method and global compliance constraints, applying coupled thermomechanical simulations to predict performance in