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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Join us for a fully funded PhD position in theoretical machine learning to uncover how and why transformers work. Explore their inner mechanisms using information theory. As part of this project
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Fees, costs and scholarships Scholarships Sustaining access to information and support in burn survivor communities (PhD scholarship) Scholarship details Study levels Research and PhD Student type
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that change? Then join us in this unique program! At Uppsala university, we are announcing the position as DDLS PhD student in Data driven cell and molecular biology. Data driven cell and molecular biology
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relativistic quantum information (RQI). This highly challenging PhD experience will offer you the chance to work on world-class research combining quantum information theory with key aspects of quantum field
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holistic views of complex chemical and biological systems. However, discrepancies in data structure, measurement scales, and resolution across platforms make this integration challenging. Existing approaches
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be closed when the right PhD candidates are selected Application will be closed when the right PhD candidates are selected One (1) One (1) To be eligible for this scholarship you must: Have a Master by
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-mounted ground-penetrating radar (GPR) with smart meter data to transform leak detection. Drones equipped with GPR will identify underground anomalies, while smart meter data will refine localisation
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Do you want to contribute to top quality medical research? Data-driven precision medicine and diagnostics covers data integration, analysis, visualization, and data interpretation for patient
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circuitry during behavior, to the quantification of natural animal behaviors. We are looking for a PhD student to work on a joint project between the Neural Information Flow (Scholz) and Genetics of Behavior
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applications Multimodal data integration and prediction, including clinical, medical imaging, and sensor data (e.g. ECGs) The PhD student will have the opportunity to conduct both methodological and applied