249 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at Zintellect in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
gaps in dose-selection methodologies to support regulatory decision-making and future pediatric drug development strategies. Learning Objectives: You will meet regularly with your FDA mentor and a
-
, the participant will: (1) gain experience in computational modeling to optimize manufacturing high-purity reactive refractory metal powders, (2) learn advanced modeling methods based on density functional theory
-
Learning about protein design and engineering Exploring cell-based and cell-free screening Applying high-throughput screening Utilizing bioinformatics, machine learning, and other computational approaches
-
-property relationships, statistics and probability, applied mathematics, data science, or machine learning. Application Requirements A complete application consists of: Zintellect Profile Educational and
-
computing facilities at the DOD Supercomputing Research Center. What will I be doing? This project will focus on learning, adapting, and applying US Army Corps of Engineers-developed or supported coastal
-
and stress), behavior (grazing behavior halters, accelerometer-based ear tags, chute velocity measures), environmental monitoring, and pasture measures. Learning Objectives: Under the mentor's guidance
-
Raman imaging technologies for safety and quality evaluation of agricultural products. Learn artificial intelligence/machine learning methods to evaluate hyperspectral image data to assess safety and
-
animal health, microbiology, and aquaculture engineering. Research Project: The participant will be involved in processes to improve fish health and the efficiency of aquaculture production. Learning
-
to the continent, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including artificial intelligence (AI) and machine learning, to help
-
the underlying impacts of stressors on bee health and analytical skills for understanding colony level dynamics and predicting mass colony loss events. Learning Objectives: The fellow will learn and apply