Sort by
Refine Your Search
-
Category
-
Employer
- FAPESP - São Paulo Research Foundation
- EEL - University of São Paulo
- Faculdade de Medicina da Universidade de São Paulo
- CNPEM/LNLS
- Centre of Excellence for Research in Sustainable Chemistry
- Engineering Research Center Plant Health in Sugar Cane
- FAPESP / USP
- Institute for Advanced Studies, University of São Paulo, São Paulo / FAPESP (BIOTA SYNTHESIS – Nucleus of Analysis and Synthesis of Nature-Based Solutions)
- University of Sao Paulo
-
Field
-
degree in Computer Science, Computer Engineering, Data Science or related fields. The following are desirable: i) Good oral and written communication skills; ii) Ability to work in an interdisciplinary
-
) PhD in High Energy Physics and have experience in HEP data analysis workflow (computer modeling generation, reconstruction, etc.), including modern programming languages like Python and C++. Good
-
technical writing and presentation skills; - Advanced programming skills (Python, JavaScript, R), including image processing, machine learning, and scientific & data visualization libraries; - Strong
-
planting density and resource allocation; (3) applying machine learning for spatial data analysis; (4) evaluating agronomic variables such as leaf area index and nutrient dynamics; and (5) validating models
-
Project “Imaging working catalysts/ Catalytic correlations in nanoporous materials” (FAPESP 2021/06876-1).Candidates must hold a PhD in Chemistry, Physics, or related fields, with experience in simulation
-
-of-the-art machine learning techniques, such as Deep Learning, LLM, Generative AI, and Graph-based Learning, capable of learning from different data sources and integrating information from various formats and
-
14 Feb 2025 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Engineering Researcher Profile Established Researcher (R3) Country Brazil Application Deadline
-
8 Mar 2025 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Educational sciences Researcher Profile Established Researcher (R3) Country Brazil Application
-
staff position within a Research Infrastructure? No Offer Description We seek candidates to work with federated learning to validate machine learning models trained in different hospital networks
-
resource management; (3) applying machine learning to spatial data analysis; (4) evaluation of agronomic variables such as leaf area index and nutrient dynamics; (5) validation of models and analysis