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Field
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) to collaborate with the funded line of research “Artificial reef construction using electrochemical processes”. Reference: I-PI 96-25 Pursuant to the provisions on the regulations governing calls for applications
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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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well as retinal fundus images, we will explore analysis of new eye image datasets including OCTA and CCM images for diagnosis of diabetic neuropathy Machine Learning: We will develop artificial intelligence (AI
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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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-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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and characteristics: Master’s degree in Software Engineering, Computer Science, Embedded Systems, Artificial Intelligence, or a closely related field. Strong programming and system integration skills in
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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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mission. You will: Help collate data resources relevant to suicide and self-harm. Develop new machine learning methodologies (from artificial neural networks, decision trees, evolutionary algorithms and
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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