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Field
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further information . Starting in October 2026. You will need to meet the minimum entry requirements for our PhD programme . The successful candidate should hold a degree in neuroscience, cell biology
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backgrounds such as AI, computer vision, computer graphics, machine learning, robotics, wearable technologies, textile engineering, fashion technology, digital fashion, or related areas are encouraged to apply
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Critical Media Literacy” Complete the required coursework and other components of the PhD programme Conduct and disseminate research of high academic quality through publications, conference participation
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
- SIPG LAB/ISR and 1801P.01460.1.04 LARSYS/ISR BASE 2025-2029 – SIPG LAB/ISR, financed by national funds through FCT/MCTES Workplan: Develop new representations for computer vision and machine learning
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organized by PhD Students Weekly social gathering on Fridays (Friday coffee) Working capital that can be used to implement the project Mentor programme as a new employee at NTNU Favorable terms as a member
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | about 2 months ago
prognosis and restore vision. The main technology to be developed under this program will be a novel robotic system for delivering drugs to the eye and performing a tissue biopsy, in which a robotic system
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. With a deep respect for tradition and a bold vision for the future, we continue to shape the world through knowledge, innovation, and a relentless pursuit of excellence. The Role The Andrew and Virginia
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for Early Detection of Neurodevelopmental Disorders Falcon Foundation Doctoral Programme in Collaboration with The University of Bedfordshire and Luton AI A full-time, fully funded PhD studentship
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background in engineering or computational sciences, with a keen interest in medical imaging, translational vision research, and healthcare innovation. They will join a dynamic supervisory team with strong
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is suited to candidates with a PhD awarded or close to completion (or equivalent experience), in electrical machines, drives, control, real-time simulation, or a closely related engineering discipline