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Field
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solutions for urgent societal challenges (e.g. communication, artificial intelligence, climate protection, health etc.). by modern electronic & photonic technologies. The work covers the full spectrum from
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will also be provided. Overview This project will develop an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT
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Erasmus MC (University Medical Center Rotterdam); Published 3 Nov ’25 | Netherlands | about 1 month ago
for synthetic data generation across diverse data types and clinical use cases. As a PhD candidate, you will conduct research at the intersection of clinical data science and artificial intelligence, with a
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-BIED-1 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Applied Artificial Intelligence Laboratory (2Ai), an R&D unit of the School of Technology (EST
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-BIED-2 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Applied Artificial Intelligence Laboratory (2Ai), an R&D unit of the School of Technology (EST
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FIELD OF RESEARCH: Fields according to Web of Science (WoS): ENGINEERING, ELECTRICAL & ELECTRONIC a COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. DESCRIPTION OF THE WORK POSITION: • Implementation
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Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview Multimodal artificial
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the most energy‐intensive infrastructures in modern economies, with their demand projected to rise sharply as digitalisation, artificial intelligence (AI), and cloud computing expand. This growth presents
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an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT) sensor data. This will be a small system-on-chip designed
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area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports