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Field
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statistical skills. 6. Facility working with analysis software. Desirable Qualifications: Computer programing in Matlab, Python, C/C++ or similar. Expertise in machine learning methods and applications
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, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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vision for extracting complex patterns, structure, and meaning from images and/or volumes; and (4) new mathematics and algorithms leading to new applications of machine learning and artificial intelligence
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, entrepreneurship and/or other activities supporting the applicant’s career development. Who we are looking for Requirements Doctoral degree in bioinformatics, biomedical engineering, computer science, image/signal
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computational science, collaborating with leading European research groups and benefiting from advanced GPU and HPC infrastructure. Where to apply Website https://www.academictransfer.com/en/jobs/359110/postdoc-2
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THIS VACANCY IS OPEN TO INTERNAL CANDIDATES ONLY About Us The School of Cardiovascular & Metabolic Medicine & Sciences (SCMMS) provides an outstanding multi-disciplinary environment for the pursuit
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of extracellular vesicles - Modeling and AI for image analysis The new multidisciplinary unit NABI (Nanomedicine, Extracellular Biology, Integratome and Health Innovations), located on the Saint Germain Campus
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experience unless stated elsewhere in the job posting. Skills: 3D Imaging, Collaboration, Communication, Computer Coding, Data Analysis, Data Interpretations, Data Science, Electroencephalogram (EEG
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) microscopy, FLIM, STED, lattice lightsheet microscopy, fluorescence correlation spectroscopy (FCS), image processing and analysis and spectral imaging. More information about the ABIF can be found at: http
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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