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of techniques — organoids, stem cells, omics approaches, and live imaging — to explore principles of cell-fate specification and tissue morphogenesis. We recently moved into newly renovated laboratory
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tissue transcriptomic profile, as well as the inflammatory and metabolic profiles associated with radiopharmaceutical uptake assessed by imaging exams. CancerThera, the Cancer Theranostics Innovation
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AI-modeling and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize treatment plans, enhance
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the area of Neurosciences and/or Network Analysis. Ability to perform advanced structural and functional image analysis. 6 years of experience in Neuroscience. Responsibilities Research Under general
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imaging data—primarily intraoral radiographs—integrated with clinical and behavioral data collected from multiple collaborating institutions. The overarching goal of this research is to enable early and
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, within a highly interdisciplinary research environment with access to state-of-the-art instrumentation for nanomechanical probing of soft matter and correlative imaging. Project background Biological
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research in areas such as underwater robotics, medical image analysis, and artificial perception, aiming to develop innovative technologies with real-world impact and strong links to industry and society
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) are facing a critical methodological juncture. While commercial AI tools like ChatGPT offer powerful capabilities for text analysis and coding, they act as black boxes that obscure how data is processed, pose
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flows, diffusion models). Hands-on experience in multi- and hyperspectral image processing (e.g., IDL/ENVI) and RTM inversion (e.g., ARTMO) Proficiency in scientific programming using Python, with
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. Experience in neurobiology of addiction, animal behavior (self-administration, stereotaxic surgery), and/or molecular techniques (PCR, western blot, immunohistochemistry). Experience in neuronal imaging is a