Sort by
Refine Your Search
-
-effective use of network signaling. The main idea is to explore new optimization approaches and robust techniques to handle channels and other parameter uncertainties and temporal variability, along with
-
position within a Research Infrastructure? No Offer Description This project proposes the development of flexible wearable sensors for application in agriculture, with a focus on monitoring plant health
-
Brazil is developing a project in quantum optics to develop squeezed light sources and sensors such as atomic magnetometers. The fellowship will be linked to the Young Researcher project as part of
-
techniques—particularly convolutional neural networks (CNNs)—will be applied to identify complex canopy patterns and classify successional stages. Mandatory requirements: Ph.D. in Remote Sensing, Forest
-
addition to supporting field and laboratory activities. They will integrate Net Primary Production (NPP) and the Gross Primary Production (GPP) data to construct a reference carbon budget and assess initial responses
-
journals; - Participate in the life of the Center, contributing to scientific meetings; - Develop collaborations within the CBG network; - Offer short courses or minicourses; - Interact with graduate
-
reputable international journals; - Participate in the life of the Center, contributing to scientific meetings; - Develop collaborations within the CBG network; - Offer short courses or minicourses
-
staff position within a Research Infrastructure? No Offer Description Title: “Synthetic Dataset Generation Technique to Optimize Neural Network Training for Seismic Data Prediction” Research Area
-
staff position within a Research Infrastructure? No Offer Description This research project aims to develop a synthetic dataset generation technique to optimize the training of neural networks (NNs
-
), Multilayer Perceptron (MLP), Autoencoders, Convolutional Neural Networks (CNNs), and Kolmogorov–Arnold Networks (KANs). Desirable knowledge of Gradient Boosting models such as HistGBM, LightGBM, and XGBoost