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computational sub-team that includes computer scientists and computational PhD students, fostering an interactive environment of technical exchange, code review, mutual support, and collaborative problem-solving
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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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is a critical physiological process requiring precise coordination of cellular functions, including DNA replication, transcription, and the DNA damage response, to support milk production. This PhD
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the excellence cluster Your profile PhD in physics or in a related discipline experience in phase contrast or coherent X-ray imaging advanced programming skills in a high-level computer language (Python or related
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solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026/phd-position-in-physics-inform… Requirements Research FieldComputer
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) microscopy, FLIM, STED, lattice lightsheet microscopy, fluorescence correlation spectroscopy (FCS), image processing and analysis and spectral imaging. More information about the ABIF can be found at: http
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Strong written and spoken English skills What We Offer A fully funded 4-year PhD position Opportunity to work on real-world maritime cyber security challenges Access to industrial and academic research
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sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 28 Aug 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Part-time Offer
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should be exclusively submitted through the consortium webpage https://raptor-consortium.com/recruitment/ RAPTORplus aims at adapting proton therapy treatment with multi-modality image information acquired
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practice. About the Faculty https://www.kcl.ac.uk/lsm About the Department of Biomedical Engineering https://www.kcl.ac.uk/bmeis About The London Medical Imaging & Artificial Intelligence Centre for Value