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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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We are offering a PhD position in the field of algorithmic graph theory. The position is a full-time employment with a competitive monthly salary and full social benefits for up to five years. You
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The Department of Urban and Rural Development conducts undergraduate and postgraduate education, research and collaboration. About 175 people are employed in five divisions. The department is the
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. The department employs around forty researchers, postgraduate students and teachers. You will be employed in the unit Theory of Disordered Materials: https://liu.se/en/research/theory-of-disordered-materials You
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Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world
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) biological knowledge about GRNs from bioinformatics and system biology, (b) graph theory and topological data analysis for network modeling from mathematics, and (c) robust machine learning (ML) and GenAI from
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develop innovative remote sensing capabilities to monitor oceans, ice, vegetation, and natural disasters. Be part of a dynamic, international team shaping the future of environmental monitoring! About us At
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postgraduate education in areas such as Information Processing Technologies, including Quantum Information and Computation, Optoeletronics, Physical Layer Security and Information Theory, Cybersecurity and
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interfaces. About us The Condensed Matter and Materials Theory division models and studies diverse materials and condensed matter systems, often inspiring new materials, technologies, or structured media with
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dynamics simulation and controls toolbox fascinating? The research of the PhD student will touch upon various topics multi-body dynamics, optimal control theory, machine learning and robotics and artificial