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that exhibit emergent turbulent behaviors, and (2) disordered optical media that process information through complex light scattering patterns. Using advanced imaging, machine learning techniques, and real-time
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Funding for: UK/Home Students We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: The PhD project is methodologically independent, with
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21 Aug 2025 Job Information Organisation/Company Malopolska Centre of Biotechnology Research Field Biological sciences » Other Chemistry » Other Researcher Profile Other Profession Positions PhD
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
related to the cannabinoid and neuroHIV fields, including behavioral pharmacology studies, in vivo calcium imaging studies, as well as studies that focus on harvesting of CNS tissue, and
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domains are e.g., signal-/image processing, artificial intelligence and machine learning. Tasks: research and development in designing and programming field programmable gate arrays (FPGAs) for accelerating
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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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Adrian Svendsen Bensvik 21st September 2025 Languages English English English Faculty of Biosciences and Aquaculture (FBA) PhD position in Benthic Ecology Apply for this job See advertisement About
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focus on understanding how axons maintain their structure and function, and how these processes break down in disease. You will have the opportunity to contribute to one of our ongoing projects addressing
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. Research Project & Objectives This PhD project aims to develop a field-realistic VLE prototype for education and training purposes of emergency response, construction safety and health, lean construction