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intelligence, and multimodal learning. The main objective of this position is to develop novel generative AI methods for computer vision applications, with a particular focus on Diffusion Models and Vision
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
tools for interactive and distance learning. Key Responsibilities: Research Conduct research and development on the Augmented Smart Classroom (SmartClass) platform, focusing on data collection, analytics
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(2025–2030), the Praxiling laboratory (UMR 5267, Paul-Valéry Montpellier 3 University / CNRS) is recruiting a postdoctoral researcher (M/F) specializing in multimodal linguistics (the study of co-verbal
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evaluating computational methods, analysing imaging data, collaborating with clinicians for real-world impact, and contributing to publications. About You PhD (or near completion) in computer science
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the Job related to staff position within a Research Infrastructure? No Offer Description Description The Division of Engineering and the Center for Interacting Urban Networks (CITIES) at New York
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genomics. The successful candidate will work on developing novel AI models that (i) integrate thousands of genome assemblies and multimodal biological datasets to uncover the genomic determinants of species
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for conservation genomics. The successful candidate will work on developing novel AI models that (i) integrate thousands of genome assemblies and multimodal biological datasets to uncover the genomic determinants
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molecular imaging research program. This platform will support translational studies mainly in oncology, through quantitative multimodal imaging (PET-CT, SPECT-CT, optical imaging, autoradiography
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electrophysiology (e.g., Neuropixels) Analyze and integrate multimodal datasets to link synaptic interactions to visual response properties Contribute to a collaborative lab culture, including mentoring students and
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AI-driven learning technologies on learning outcomes, cognitive development, and mental health. Details: The ideal candidate will have methodological expertise in one of the following areas: multimodal