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Engineering, Medical Image Analysis, Applied Mathematics or a related field Experience with deep learning for image analysis, preferably in medical imaging Experience with generative modelling, ideally
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the theoretical framework developed on empirical data currently collected independently in the project. Examples of the approach can be found in Ecological Modelling 205: 196-208 and Ecological
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Employment 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Science Application deadline 18 May 2026 Apply now Contribute to one of the greatest
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You hold a PhD in Computer Science, Artificial Intelligence, Applied Mathematics, Electrical Engineering, or a closely related field. You have demonstrated expertise in machine learning and deep
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multimodal modeling, interaction design, and adaptive systems. Job requirements We are looking for applicants who have or expect to receive a PhD degree before joining the project. Applications have a relevant
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to apply Website https://www.academictransfer.com/en/jobs/359469/postdoc-in-reinforcement-learni… Requirements Specific Requirements a PhD in mathematics, operations research or computer science a strong
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our lab Develop bioconjugation methodology for conjugating the peptides to defined nanoparticles What you bring We are looking for a highly motivated scientist with: A PhD in the field of peptide
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mission of unlocking the “geometry of artificial intelligence” then please apply! What you will do Singular Learning Theory (SLT) is a mathematical framework for analysing statistical models that do not
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, integrate and share your knowledge of (primarily European) regulatory frameworks and the validation and qualification of these models. Sharing and disseminating knowledge: you will develop and manage an
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, models, and computing resources in a unified environment, Macroscope aims to make it possible to analyse large-scale social processes across time and across multiple types of data. The postdoc position is