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Are you excited about the future of wearable healthcare? Join us to merge microfluidics and contact lens technology, developing smart lenses that enable controlled tear fluid collection and analysis
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
determination by developing mathematical methods and integrating machine learning into crystallographic workflows. The successful candidate will develop theoretical and computational approaches to improve
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%) on “Understanding the dual role of SOBIR1 and PBL30 in steering plant immunity and development”. The position is available from January 2027 and is initially funded for three years, with the possibility of extension
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31.08.2026 Application deadline : 09.10.2026 The Cluster of Excellence GreenRobust invites applications for a PhD position (m/w/d, E13 TV-L, 65%) in the field of plant immune receptor evolution in
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candidates within PREFERENCE receive interdisciplinary training and develop a unique combination of scientific, technical and transferable skills. The consortium aims to develop new LAFOV PET/CT methodologies
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combining interdisciplinary scientific training, research exchange, and career development Access to state-of-the-art research environments across participating institutions Funding for annual participation
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, imaging or diagnosis. This PhD project will develop stimuli-responsive nanozyme coatings for personalized medical implants. Nanozymes are nanomaterials capable of mimicking the catalytic activity of natural
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such risks arise and developing strategies to optimise phage therapy for co-infections, helping unlock its full potential as a next-generation antimicrobial treatment. These studentships are funded through GW4
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PhD Scholarship Develop AI and machine learning models to guide real-time, personalised treatment of paediatric brain cancer using multiomics and clinical data, within the internationally
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degree in Computer Science, Artificial Intelligence, Software Engineering, Robotics, or a related field Strong experience in software development and excellent programming skills, preferably in Python