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welcomes applications from individuals with a master’s degree in the following fields: Computer Science Mathematics Natural or engineering sciences or an equivalent degree, interested in High-Performance
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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nitrogen fixation at the molecular level. Your Responsibilities: Perform EPR and related spectroscopic investigations of biological and synthetic nitrogenase systems Prepare synthetic iron-sulfur clusters
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(mobile app) intervention for the prevention and management of performance-related pain among musicians. The app will contain various components including self-monitoring, physical exercises, relaxation
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to mastering the great challenges facing society today. The Institute of Resource Ecology performs research to protect humans and the environment from hazards caused by pollutants resulting from technical
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., traditional performance-related metrics), “form” (i.e., livability), and “fairness” (i.e., equity, environmental justice, etc.), on a timeline that aims towards “forever” (i.e., sustainability). This project
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synthetic chemistry excellent results on individual performance criteria (e.g., manuscript/publication resulting from Master thesis, awards) and timely completion of higher education strong motivation
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-performance chain; therefore, enabling stability and control of novel manufacturing processes as well as achieving desired properties within materials science and engineering. Use-cases will be defined within
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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, downstream processing and molecular biology Experience in bioreactor operation Basic knowledge of further processing Interest in working in an international team, enjoy teamwork, good time management and