135,217 machine-learning-"Faculty-of-Earth-Sciences,-Geography-and-Astronomy" positions

Machine Learning Engineer

Overview About the Role Applications are invited for a motivated and committed Machine Learning Engineer. The successful candidate will contribute to Queen Mary’s national reputation for research by planning

Machine Learning Engineer

Future. Discover. Together. The Applied Machine Learning (AML) Group of the Artificial Intelligence Department is seeking a Machine Learning Engineer to support our scientific activities in

Machine Learning Engineer

About the Role Applications are invited for a motivated and committed Machine Learning Engineer. The successful candidate will contribute to Queen Mary’s national reputation for research by planning

Professorship for Advanced Machine Learning

cooperation with ScaDS.AI, seeks to fill the following professorship at the earliest opportunity Professorship for Advanced Machine Learning Depending on the applicant's qualifications, the position will be

Machine Learning Engineer

, prevention, and education. Core to the success of our mission is the ability to orchestrate multidimensional data, data analytics, and machine learning to create sustainable impact within a framework of

PhD Student in Machine learning for radiological precision medicine

group has expertise in radiology, biostatistics and machine learning. We have a strong collaboration with research groups at KTH, at KI, and internationally within two EU projects and a new collaboration

Machine Learning Engineer - 129903

, faculty and administrators Demonstrated experience with python and machine learning libraries and familiarity with AWS Employment is subject to a criminal background check. Pay Transparency Act Annual Full

Postdoctoral Researcher in Atomistic Machine Learning

objective is to facilitate atomistic materials science with machine learning to gain insight into fundamental processes on the atomic scale and accelerate materials development. YOUR ROLE AND GOALS You will

PhD Studentship: Space Trajectory Classification using Machine Learning

Machine Learning techniques to this data to extract the essential information contained within these trajectories. This will be achieved through the following steps: Develop tools to efficiently generate a

PhD Studentship: Machine Learning Models for Subgrid Scales in Turbulent Reacting Flows

Project title: Machine Learning models for subgrid scales in turbulent reacting flows Supervisory Team: Temistocle Grenga, Ed Richardson Project description: Supervised deep convolutional neural