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felt along the cell population line, resulting in the first-of-its-kind living tuneable sensor with cell-specific response. Unit sensors will be robustly characterised. Data will train a machine learning
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for perceptual and creative relevance; Curate and/or utilize benchmark datasets of pareidolic visuals, and apply statistical and machine learning methods to analyze visual data and model behavior; Publish and
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multiple families), SynComs from the MICROP culture collection, and advanced phenotyping from the Netherlands Plant Eco-phenotyping Centre (NPEC). You will conduct large-scale SynCom experiments, perform
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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multimodal machine learning, large language models, and fairness and uncertainty evaluations. The PhD student will benefit from: State-of-the-art AI computing recourses for large-scale model training including
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that would give you an advantage) Experience in computational modelling (e.g., agent-based Bayesian models, cognitive learning models, machine learning, robotics). Experience in annotation software such as
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skilled human operators must acquire and integrate information from multiple distributed sources (e.g., physical and informational environments) to coordinate cognitively (e.g., decision-making) and
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-funded competence centre for Artificial Intelligence and Machine Learning. It now consists of more than 40 excellent research groups, both in the field of application-oriented Machine Learning and in
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Chalmers' new research initiative Ocean is seeking a highly motivated PhD student in environmental analytical chemistry and machine learning. In this role, you will work with high-frequency
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such as autonomous cars and robots. Job description We have multiple open PhD positions at AVI@PRS and we are looking for motivated candidates with a strong background in computer vision, machine learning