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validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type
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• Experience with diagnostic postmortem Computed Tomography scanning • Experience using an intraoral digital scanner • Experience using the medical image processing software, Myrian, in a forensic context
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of Research ExperienceNone Additional Information Eligibility criteria The applicant should have a PhD in astrophysics or an equivalent qualification (e.g., in signal processing and machine learning). Skills in
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18 Feb 2025 Job Information Organisation/Company Universidad de Murcia Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country Spain
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/despre-ub/cariere/posturi-vacante/posturi-cercetare/#… Additional comments - Data analysis: GIS and remote sensing - Data processing and satellite images in Google Earth Engine and Python - Data mining
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with cell culture models for biomaterial testing. Hands-on experience with immunohistochemistry or fluorescence imaging for tissue analysis. Selection process Selection process for the position
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post-PhD research experience in advanced imaging strategies to include super-resolution microscopy, e.g. second- and third-harmonic generation, fluorescence lifetime imaging (FLIM), fluorescence
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microscopy, who will thrive in a laboratory with a supportive, friendly and inclusive atmosphere. You will have a PhD in a relevant field (e.g. immunology, neuroscience) or are due to complete within 6 months
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
, an active doctoral studies program, and state-of-the-art instrumentation. Onsite facilities include those for flow cytometry, confocal microscopy, live animal imaging, laser capture microdissection, phosphor
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articulate this process in discussions, presentations, and formal reports. Recent examples of our work have included novel approaches to analyzing network traffic, reasoning about automated imaging analysis