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We are looking for an outstanding PhD student with either strong background in computational modelling or significant experience of laboratory work, who is keen to work at the interface between
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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and
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of water affect the degradability of wood. This will be done in degradation experiments, where external moisture conditions are precisely controlled using custom-built pressure plate chambers. The
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at the Faculty of Medicine are enrolled in the faculty-wide doctoral training programme. The programme comprises 25 credits and is offered in two study tracks: 25 credits across 8 semesters (4 years) or across 12
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in Mechanical or Aerospace Engineering, Physics, Computational Science, or a related discipline. The candidates should have: Solid programming skills (Python, MATLAB, or C++). Knowledge of the OpenCV
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to your work duties after employment. Required selection criteria Applicants must hold a relevant master’s degree in telecommunications, computer networks, computer science, or a closely related field, with
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qualification. Background knowledge and experience in engineering and computer science disciplines and in areas such as CFD post-processing (OpenFOAM), wind turbine renewable energy systems, big data management
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Post Summary: The candidate will join the PhD programme at the Department of Sociology of Trinity College Dublin, Ireland’s leading university which is located on a historic campus in the heart
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either English or German. Some additional courses may be in German. Some events, such as internal lab meetings, etc., may also be in German. Programme duration 6 semesters Beginning Only for doctoral
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We are recruiting for an exciting research role as a Research Assistant/Data Coordinator, for the Children’s Surgery Outcome Reporting (CSOR) programme. This position is ideal for candidates with