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motivated Preferred Qualifications: Experience with serial section EM Histology Viral and immuno labeling Stereotaxic surgery Image analysis software and systems (e.g. FIJI/ImageJ, EyeWire) Light microscopy
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automation integration and deployment of image segmentation algorithms for the automated assessment of thin-film solar cell fabrication processes (e.g. layer quality, defects, morphology) within NOMAD Oasis
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information: https://www.sheffield.ac.uk/postgraduate/phd/apply/english-language. Please see this link for information on how to apply: https://www.sheffield.ac.uk/cbe/postgraduate/phd/how-apply. Please include
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completion of a PhD. Please note that Garda vetting and/or an international police clearance check may form part of the selection process. For an information package including full details of the post
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) Positions PhD Positions Application Deadline 30 Mar 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Nov 2026 Is the job funded through the EU
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 10 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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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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interpretation, and the dissemination of research outcomes through scientific publications and project reports. PhD in computer science, artificial intelligence, computer vision, image processing, remote sensing
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degree recognition, if applicable. - Enrollment in a PhD program. Selection process The applications must include the following documents: Application form available on the internet page
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, preferably MRI. Experience with tumor segmentation, radiomics, or deep learning–based image processing is expected. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow is required