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Translational Research in Metabolism. Here, you will join a multidisciplinary research environment where clinical and experimental researchers closely collaborate with colleagues from the Maastricht University
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changing work. Its projects examine what happens when generative and agentic AI enters leadership, everyday workflows, team communication, professional learning and career decisions. Across the network
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histopathology and clinical information to learn robust cross-modal representations for diagnostic prediction. It pursues two integrated objectives: (i) to develop generative and explainable AI approaches
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for research visits to our collaborators in Europe. Training can be provided in computational fluid dynamics and machine learning. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a
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decision-making. Working with real-world data from Alliander, you will publish at leading machine learning venues while building tools with tangible impact on the Dutch energy sector. The Dutch energy
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 11 hours ago
Do you want to help transform human health through machine learning and life science approaches? Join AITHYRA in Vienna for a fully funded PhD at the intersection of machine learning, experimental
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Engineering, Bioinformatics, Statistics, Applied Mathematics, Physics, or a closely related STEM field. Demonstrated experience developing AI and machine learning models for biomedical applications. Job
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interdisciplinary project with strongly established international collaborations. As a result, you will travel internationally to collaborators’ labs to learn different approaches and develop your own research
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relevant fields, at the time of applying Organise dissemination and communication activities within the AI LEARN centre Be able to work independently and in a structured manner, and have good collaboration
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DTU Management invites applications for a 3-year PhD Scholarship associated with the project “Brains in Motion: Explaining How Humans Learn and Adapt to Navigate Urban Environments Using Artificial