887 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" positions in Sweden
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that are commonly used today. Using the improved noise models, machine learning methods will be used to enhance the segmentation of EEG data into auditory signal and background activity allowing for refined control
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practical skills in the field of data science, especially. multimodal data analysis. Experience on image processing (especially on MRI data) via machine learning. Programming skills (e.g., Python
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Join us at the forefront of life science AI. We are looking for a postdoctoral researcher to develop cutting‑edge, multimodal transformer‑based deep learning methods to extract insight from genomic
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are looking for a postdoctoral researcher with a strong background in speech synthesis and machine learning, with an interest in accessibility and human communication. Your Role You will: Plan and lead
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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protection and security, work environment safety and environmental safety at the MAX IV Laboratory. The team is now looking to employ an expert within machine safety. As the sole machine safety engineer, you
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the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https://www.naiss.se , https://eurohpc-ju.europa.eu/ai-factories_en The position Do you want to work at the
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version for all bachelor programmes) at ju.se. We are now looking for an assistant professor in computer science with a specialisation in human-computer interaction. You will be part of the team
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than 1,800 employees and nearly 21,600 students. We are looking for a Postdoctoral Researcher in Robotics and Artificial Intelligence (RAI) (https://www.fieldrobotics.eu/ ) based at Department
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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model