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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, master's or Ph.D. in Electrical and Computer Engineering, Computer Science or related field. Solid understanding of wireless communications and networking, including 5G systems, open RAN, and network slicing
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, master's or Ph.D. in Electrical and Computer Engineering, Computer Science or related field. Solid understanding of wireless communications and networking, including 5G systems, open RAN, and network slicing
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control in neuronal synapses You will be working with primary neuron cultures, rodent in vivo models, and patient brain biopsies You will use advanced microscopy for super-resolution and live imaging
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18 Oct 2025 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Engineering Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline 20
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biomedical image and signal processing; Previous experience in computer vision; Minimum requirements: Degree in Computer Science, Informatics Engineering, Data Science, Bioengineering or Applied Mathematics
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of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical technology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess
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computing. With extensive experience in medical image analysis, computer vision, and AI systems through collaborations with leading institutions. Key Responsibilities: Conduct advanced research in the areas
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Technology (RBI-FCT), by the Research Fellow Statute (EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording
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heart. These new therapeutics will be used to treat MI patients, enabling regeneration of cardiac muscle to reverse heart failure and save lives. Heart failure is incurable, irreversible and a leading