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School of Medicine Indianapolis Position Summary Postdoctoral Researcher to advance research at the intersection of artificial intelligence for healthcare, multimodal data analysis (EHRs, medical imaging
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Automatic Object and Behaviour Recognition in Video/ Image Sequences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline
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the full Portuguese version has official value for the evaluation and selection process. Title: B-0038-26 – Research Grant (BI) – 26/03/2026 – CoolEnergy – CENTRO2030-FEDER-02976700 Funding Reference
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will include electron microscopy, expansion microscopy, in situ fluorescence labelling of neuronal cell types using RNA and antibody probes, image segmentation and neuronal tracing, and network analysis
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 13 days ago
synapses with specific plastic properties. This process coincides with transient downregulation of the AMPAR trafficking protein GRIP1. Selective deletion of GRIP1 in PV neurons (PVGRIP1 KO mice) led to long
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project. The project will also employ a PhD student at Lund University, focusing on developing hybrid architectures for deep learning-based image processing and methods for multimodal medical data. We will
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elucidating the molecular and cellular mechanisms of the late phase of long-term potentiation (LTP), a key process in learning and memory. The project is based on the development and use of an innovative
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of electron microscopy and beam-material interactions. The ideal candidate will have a basic understanding of image processing. Core competencies: – Knowledge of image processing software (Avizo, Dragonfly, etc
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100% postdoctoral position within the Department of Radiology. The primary focus of this research position is to assist in innovative MR image reconstruction and pulse sequence methods. The successful
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science, or mathematics (or a related field), with a focus on robot vision and control, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good programming