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27th May 2024 Languages English English English PhD Research Fellow in machine-learning methods for education research Apply for this job See advertisement About the position A position in a
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JavaScript for all functions to work properly. Please turn on JavaScript in your browser and try again. 27th May 2024 Languages English English English PhD Research Fellow in machine-learning methods
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develop and apply machine learning potentials (MLP) to model, understand, and optimize proton and hydroxide conductivity of metal-organic frameworks for potential use as ion exchange membranes in fuel cells
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/index.html ). The role of the PhD fellow will be to (1) develop and apply machine learning techniques and statistical analyses, including Cox Proportional Hazard models and polygenic hazard scoring, to fit and
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learning as applied to high energy particle physics. Some experience in software development and distributed computing. Personal skills: Ability to work independently and take initiative Excellent teamwork
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. We combine sensing across multiple modalities with learned knowledge to predict outcomes and choose the best actions. The goal is to transfer these skills to intelligent systems in human-robot
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machine learning techniques Interest or experience in statistical modelling and analysis Interest in mathematics and natural science Experience with scientific publication and conducting research Experience
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are expected to acquire basic pedagogical competency in the course of their fellowship period within the duty component of 25 %. The main purpose of a postdoctoral fellowship is to provide the candidates with
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and written communication skills in English. Desired qualifications: Knowledge of and experience with machine learning as applied to high energy particle physics. Some experience in software development
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robot acting mechanisms for adaptive response ranging from quick and intuitive to slower well-reasoned. We combine sensing across multiple modalities with learned knowledge to predict outcomes and choose