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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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state physics Technology » Nanotechnology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 May 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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in some portions of the candidate review process for this position; however, all employment decisions will be made by a person. This position is intended to be eligible for benefits . This includes
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continuum within the 2nd phase of CLICCS (https://www.cliccs.uni-hamburg.de/about-cliccs/cliccs-ll.html). In CLICCS-M4, we are further developing the unique ICON-Coast model within the ICON Earth System
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the research outcome to the next level. This position requires high independence and facilitates interaction between research groups, the Preclinical and Imaging & Optics Facilities at ISTA. 25% of the time is
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of 27.11.2020 regarding the amendment of OMEC No. 4033 of 23.05.2019 regarding the approval of the Internal Procedure for the recruitment and selection of personnel, with a view to filling positions outside
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23 Feb 2026 Job Information Organisation/Company Universitat de Barcelona Department OPIR Research Field Environmental science Researcher Profile Recognised Researcher (R2) Positions Postdoc
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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
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.8b07216 [8] Dahlia Saad, PhD from Ecole Centrale de Lyon, “What happens at the nanometric scale at the liquid/solid interface? Implementation of an Atomic Force Microscope for 3D-AFM imaging of liquid/solid