Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
areas. These include, but are not limited to: Applying machine learning algorithms to solve real-world problems. Creating and structuring databases for storage, retrieval, and image analysis. Determining
-
. Learning Objectives: The participant will learn skills in the Protein Function and Phenotype Prediction SCINet group. They will learn to develop and deploy AI-based protein structure prediction tools
-
Organization DEVCOM Army Research Laboratory Reference Code ARL-C-CISD-300144 Description About the Research Current approaches optimize machine learning training largely by exploiting Deep Neural
-
-derived data sets, crop growth modeling, deep learning, and other statistical methods. The participant will learn through collaboration with a multi-disciplinary team of researchers to solve challenges
-
pursues disruptive qubit research, innovative workforce development programs, and deep, collaborative partnerships to tackle some of the hardest open problems in quantum information science and technology
-
acquisition software, image processing algorithms, and deep learning algorithms using Zemax, Python, Matlab, LabVIEW, CUDA, and other programming environments. Training on bench-testing for ophthalmic device
-
collection of streaming sensor data. This project focuses on utilizing state-of-the-art reinforcement algorithms to 1) dynamically learn from multi-agent actions and context, 2) evaluate the environment and
-
levels at harvest, we aim to develop predictive models, powered by deep neural networks, that can detect early signs of fungal infection and evaluate mitigation strategies such as soil amendments
-
atmospheric conditions. During the selection process, qualified applicants will have the opportunity to learn more about specific research assignments for Summer 2026. Selections, project assignments, and
-
. https://www.ars.usda.gov/pacific-west-area/wapato-wa/temperate-tree-fruit-and-vegetable-research/ Research Project: The selected participant will engage in cutting-edge research focusing on molecular