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these unique datasets using advanced artificial intelligence methods to automatically analyze blood-flow velocity, vessel diameter, and the functional response of the retinal vascular network. The project
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optoelectronic materials through advanced characterization and AI-guided optimization of epitaxial growth parameters. The PhD student will work on the various technological building blocks of the epitaxial growth
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experimental data (from ex-situ and in-situ measurement). Therefore, she/he will develop a way to optimize/guide the experiments trough artificial intelligence approach (machine/deep learning) that he will
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the field of neuromorphic artificial intelligence, energy-based models (EBMs) are attracting growing interest due to their ability to capture relationships between variables by minimizing a single scalar
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research group aims to use this large amount of multimodal data from both cameras and surgical devices to develop an artificial intelligence system that can assist clinicians and staff in the surgical
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laboratory of the Paris Observatory is offering a two-year postdoctoral position dedicated to interdisciplinary research at the interface of artificial intelligence and digital humanities. Specifically, 80
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imaging, with current emphasis on neurodegenerative diseases. The successful candidate will join an interdisciplinary institute working at the interface of computer science, artificial intelligence, and
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a global environment of chronic uncertainty - geopolitical instability, ecological transitions, and the disruptive impact of artificial intelligence - that heightens stress, anxiety, and burnout
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biology, physics, image processing and artificial intelligence studying cell division using a cellular biophysics approach. We aim to understand the robustness of cell division by measuring and modelling
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-informed Artificial Intelligence (AI) approaches adapted to practical constraints of smart monitoring [4]. Internship objectives The intern will be responsible for: 1. Developing a collection of numerical