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and journals within machine learning and computer science. Your competencies • PhD in computer science, statistics, data science, or a closely related field. • Expertise in probabilistic machine
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project “ALPS - AI-based Learning for Physical Simulation”. Expected start date and duration of employment This is a 2–year position from 1 October 2025 or as soon possible. Job description You will be
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://www.kcl.ac.uk/research/pavri-group About the role The project is focused on combining artificial intelligence (AI)-based machine learning and experimental validation to decipher the mechanism of somatic
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. citizenship and the ability to manage Controlled Unclassified Information (CUI) are strongly desired. If you have received your PhD and are interested in learning more about this opportunity, please apply by
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06.12.2021, Wissenschaftliches Personal The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation
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for time-resolved nano CT of sustainable cement”) Research and teaching efforts at a section and departmental level as appropriate and relevant (e.g., teach and co-supervise PhD and MSc student projects
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modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning
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for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering
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, conducting research on key aspects of the foundations of data science. Areas of focus include sublinear, streaming, and sketching algorithms; learning-augmented algorithms; algorithmic fairness; and learning
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at the Faculty of Medicine, University of Helsinki. The project will focus on using and extending deep learning-based approaches developed within the group to integrate bulk multi-omics cancer data. The Kuijjer