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Degree Dr rer nat/PhD Course location Göttingen Teaching language English Languages English Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline
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of Nottingham, but should expect to engage fully with the 3-month full-time training programme in the Fusion Engineering CDT at the start of the course (October to December inclusive). CDT training will be
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sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental monitoring programs the National Forest Inventory
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on secondary sources. Qualifications: M.A. in Islamic Studies, some years on the Ph.D. level in Religious Studies, good knowledge of Arabic and English. Before applying, please note that to work at McGill
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collaborators internationally Good communication skills Proficiency in written and spoken English Immunity status Please note that employment is contingent upon proof of immunization or immunity against
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at the 2026/27 UKRI rate) (note that the 2025/26 rate is £20,780), and a research training support grant of £20,000. Overview This PhD project is part of the EPSRC Centre for Doctoral Training in Process
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improvements in machine learning (ML) applications now allow researchers without extensive programming backgrounds to implement advanced image-processing techniques using accessible programming languages and
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frameworks. This approach is timely, as improvements in machine learning (ML) applications now allow researchers without extensive programming backgrounds to implement advanced image-processing techniques
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programming skills (Python, MATLAB), excellent communication and ability to integrate numerical modelling, sensor technologies, and occupant-focused design. Experience in thermodynamics, building physics
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teaching assistantship. The ideal candidate will have a strong foundation in Python programming and hands-on experience with deep learning frameworks such as TensorFlow or PyTorch. Applicants with a