Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
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
-
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
-
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
-
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
-
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
-
a global environment of chronic uncertainty - geopolitical instability, ecological transitions, and the disruptive impact of artificial intelligence - that heightens stress, anxiety, and burnout
-
-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
-
for Artificial Intelligence. https://miai.univ-grenoble-alpes.fr/ Activities Develop and evaluate deep learning tools for MRI fingerprint data Write scientific articles Present results at international conferences
-
University, is recognized for its expertise in artificial intelligence and formal methods In this stimulating academic context, we will focus on the problem of explainability of artificial intelligence models
-
of external conditions. Recent work has demonstrated the strong potential of combining Internet of Things (IoT) devices with artificial intelligence in the cloud, but to date no solution has proposed embedding