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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Computational Design and Fabrication for Human Computer Interaction (HCI
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: Hydrology, Water Resources, Data Science, and Computing Admission requirements: BSc or MSc degrees in one of the following areas: Civil Engineering, Computer Engineering, Environmental Engineering, Physical
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. Develop multimedia and/or computer based interactive instruction applications and material that include such elements as moving video, sound, computer animation, and text for faculty use in classes, as
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At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13 TV-L, part
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, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service or other non-merit factor. All qualified applicants will receive consideration
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Description Last application date Sep 30, 2026 23:59 Department TW08 - Department of Electromechanical, Systems and Metal Engineering Occupancy rate 100% Vacancy type Research staff ABOUT GHENT UNIVERSITY Ghent
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statistical modeling, machine learning, data analysis, and reporting Proficiency in Python or R Ability to plan, execute and control a project, establishing realistic estimates and reporting timelines Advanced
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/InstituteSchool of Electrical Engineering ans Computer ScienceCountrySwedenState/ProvinceStockholmCityStockholmPostal Code10044StreetBrinellvägen 8Geofield Contact City Stockholm Website https://www.kth.se/en
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. An understanding of radiation detector theory and the ability to troubleshoot radiation detection systems to the component level. Excellent interpersonal, written, and oral communication skills. Ability to function
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processes. Your responsibilities will include: Conducting high-quality research on the suitability of available methods to model metal-ligand complexes in water, with a focus on machine learning techniques