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Field
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, biomedical engineering, advanced image processing and machine learning. The studentship suits a candidate with a strong background in optometry, physics, engineering, computer science or a related discipline
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of three work years of the total term period must be dedicated to doctoral work.) For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering
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: Artificial intelligence and machine learning. Human-computer interaction, behavioural research or experimental design. Computer vision, audio analysis or multimodal data analysis. Statistics, psychometrics
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candidate for a full-time (100%) PhD position for 3 years. You will join the research group Power Electronics and Electrical Machines (PEM) at IEL, where we foster an open, inclusive, and collaborative
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. Knowledge of data analysis, optimization, and machine learning techniques is a plus. Knowledge of machine learning libraries (e.g., PyTorch or TensorFlow), SDR hardware (e.g., USRP) and software (e.g
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Knowledge of machine learning, Large Language Models (LLMs), Vision Language Models (VLMs), or generative AI Experience with Retrieval-Augmented Generation (RAG), AI agents, model-driven engineering, DevOps
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a vacancy for a fully funded 4-year PhD position. This interdisciplinary role is offered in collaboration with the Department of Computer Science (IE) and external partners in Norwegian municipalities
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
Contract. General Positioning Artificial intelligence (AI) began revolutionizing digital services in 2013 with its application to image processing and computer vision. A second revolution arrived around 2020
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
fields Experience with image analysis, or computer vision Good knowledge of basic machine learning techniques, such as variational autoencoder Good presentation and writing skills Proactive, independent
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imaging (crucial) Experience with image segmentation, deep learning, or computer vision. Experience with 3D image processing or inverse problems. Experience with experimental research and data acquisition