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Field
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of the Saragovi Lab is to develop and apply a combined computational, Artificial Intelligence (AI) and high throughput experimental approach to systematically infer protein-semiconductor hierarchies materials and
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Two Postdoctoral Researchers in Cell Delivery-Based Beta Cell Replacement Therapy for Type 1 Diabete
30 years of experience in research and teaching in the fields of Computer Science, Cybersecurity, Artificial Intelligence, Robotics, Data Science, and Applied Mathematics. In this role, you will be
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& Experience (specific to the project): PhD in Computer Science, Cybersecurity, Artificial Intelligence, or a related discipline. Strong research background in virtualisation, cybersecurity, AI or threat
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of New Technologies within the scope of the SMAIS: Artificial Intelligence for Municipal Water and Sanitation Services (2024.07381.IACDC), supported by the measure “RE-C05-i08.m04 – Support for the launch
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Artificial Intelligence (RAI) (https://www.fieldrobotics.eu/ ) based at Department of Computer Science, Electrical and Space Engineering as part of the national research program WASP. Wallenberg AI, Autonomous
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of artificial intelligence, and human-computer interaction, striving to create technologies that amplify human potential. The successful candidate will engage in innovative research projects in ML, focusing
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of the Saragovi Lab is to develop and apply a combined computational, Artificial Intelligence (AI) and high throughput experimental approach to systematically infer protein-semiconductor hierarchies materials and
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implement innovative architectures for real-time detection and control of laser processes. This interdisciplinary role combines artificial intelligence and machine learning with the physics of laser–matter
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Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in
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Requisition Id 15448 Overview: We are seeking a Postdoctoral Research Associate who will focus on creating innovative artificial intelligence algorithms for the trusted visualization of large