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Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 4 Oct 2026 - 23:35 (Europe/Prague) Country Czech Republic Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer
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Are you fascinated by how machine learning can enhance control without compromising safety or stability? As a PhD candidate, you will develop scalable methods for expressive and flexible neural
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(Dairy and Ecology: co-innovating business operations for nature), primarily funded by the Dutch Research Council (NWO). The project embraces four fully-funded PhD candidates and a postdoc. It is a
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addition to doctoral students, bridge fellowships for outstanding Master’s graduates and exploratory research grants for postdocs are regularly offered. All three groups of researchers form the interdisciplinary
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or AI/machine learning/NeuroAI. For candidates with a neuroimaging background, this may include experience with data acquisition, preprocessing, and/or analysis; experience with fMRI is preferred, but
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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scientists (Master student, PhD student, postdoc, senior scientist), currently of six different nations, which are inspired by working together on solving technical challenges to advance fundamental questions
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at Saxion University of Applied Sciences, you will contribute to the development of machine-learning models that connect powder characteristics and process parameters with the properties of the final