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Faculty of Health and Medical Sciences, University of Copenhagen We are offering a three-year PhD fellowship in image analysis using deep learning, commencing 1 December 2025 or as soon as possible
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apply a fast and efficient forest trait mapping and monitoring method based on the Invertible Forest Reflectance Model. A machine learning / deep learning framework will be explored and developed
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Grant Arts PhD Fieldwork Grant Application is required. Check eligibility Key scholarship details Application status Open for applications Applications open 1 Jan 2025 Applications close 31 Jan 2026
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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
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to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model development using Python and/or other programming languages
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Description We offer a deep immersion in bio-based energy technologies; the candidate will learn and live the translational perspective of designing biomaterials for sustainable energy-related applications
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advancements, population and economic trends, and their future developments come with deep uncertainties. Infrastructure policies must account for these uncertain drivers and their dynamic interaction with
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. FEB's programmes, academic staff and research do well on various excellence ranking lists. Where to apply Website https://www.academictransfer.com/en/jobs/354383/elsa4ti-phd-position-legal-chal
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efficient for medicine? If the answer is yes, please continue reading! Join our team! We are looking for a PhD student to work on the topic of shape analysis for medical imaging, tailored for deep learning
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grade) Cover letter List of exams with grades (both bachelor and master) You can address your application to Cosimo Della Santina. Doing a PhD at TU Delft requires English proficiency at a certain level