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Lead Supervisor name: Andrew Callaway, email: acallaway@bournemouth.ac.uk Project description: This PhD programme will determine the most clinically acceptable methods for emergency response teams
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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within three months of your employment contract start date, and that you participate in an organized doctoral programme throughout the period of employment. As an employee at NTNU, it is important that you
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programme . This project is suitable for a student with a first-class degree in engineering, chemistry, physics or a closely related physical science. How to apply Applications should be submitted via
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talents. You will join the PhD program at the Graduate School of Life Sciences https://www.uu.nl/en/education/graduate-school-of-life-sciences . More information For more information, please contact Dr
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/Computer/Mechanical/Materials/Nuclear Engineering or related discipline. • Excellent foundation in materials processing • Hands-on experience with device and system characterization. • Experience in
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microscopy techniques and image analysis (confocal, multiphoton, or other advanced imaging techniques) and/or electrophysiology. Demonstrated computational knowledge, use of ImageJ, and familiarity with a
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is an initiative of the SciTeach Center , a resource center dedicated to supporting the teaching of science at the primary levels in Luxembourg. The successful candidate will both coordinate and
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at laboratory scale using small-area gas-diffusion electrodes (<5 cm²). Scaling up these systems introduces significant engineering challenges, including mass transport limitations, long-term catalyst durability
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Fully Funded PhD Research Studentship tax-free stipend of £20,870 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Behaviour-Based Anomaly Detection