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23 Mar 2026 Job Information Organisation/Company Universidade da Madeira Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 8 Apr 2026
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 12 days ago
German level (C1) • Experience and skills in the application of modern imaging technologies (e.g. µCT methods) in the representation of biological processes in infection medicine) Main Research Field
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Energy, a position as PhD stipend is available within the general study program. The stipend is open for appointment from 1st September 2026 or soon hereafter. The duration of the position is three years
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 29 days ago
of PhD certificate or diploma; Detailed Curriculum Vitae; Motivation Letter. The submission of applications is digital, in pdf format, from 02/03/2026 to 15/03/2026, in the following link: https
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an interest in image analysis and instrumentation. Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UMR6251-ANAGAU-002/Default.aspx Work Location(s) Number of offers available1Company
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will play a key role in automated wildlife identification and classification from trap camera images using cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI
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neurovascular research in close collaboration with clinical teams. Main responsibilities and duties: Coordinate and manage activities within the neurovascular research laboratory Provide support to PhD students
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will join the Molecular Imaging and Radiobiology team
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. The Cancer Research UK-Scotland Institute has access to instrumentation in the Scottish Centre for Macromolecular Imaging (SCMI) https://www.gla.ac.uk/research/az/cvr/facilities/scmi/, such as the JEOL CRYO
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time