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PhD Studentship: Experimental Investigation of Pharmaceutical Tablet Disintegration and Drug Release
. This project combines lab work, data analysis, and collaboration with experts in pharmaceutical science. Your findings will help develop better models to predict drug behaviour, ultimately leading to more
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applications for a non-tenure track Assistant/Associate Research Professor, Biology and Management of Urban Pests. The successful candidate will engage with the national pest management industry and conduct high
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Applications are invited for a Research Assistant/Associate position to work in the groups of Dr Felipe Karam Teixeira and Professor Richard Durbin at the Department of Genetics in central Cambridge
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that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme Experience in analyses of imaging data such as structural MRI and
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to optimally prepare it for use in AI-driven systems and solutions. About us The Department of Computer Science and Engineering at Chalmers and University of Gothenburg in Sweden with approximately 300
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chemistry. Good laboratory skills. Good computer skills / data processing skills. Good communications skills. Good written and oral English language skills. Experience in single molecule analysis, work with
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Science, e.g., Molecular Biology. Expertise in functional genomics approaches and computational data analysis. Expertise and interest in gene-regulatory mechanisms. Motivation and strong analytical and
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of the technology in the companies in Software Center. About us The Department of Computer Science and Engineering at Chalmers and University of Gothenburg in Sweden with approximately 300 employees from more than
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application! We are looking for a PhD student in Computer Science formally based at the Department of Computer and Information Science (IDA) as part of the national research program WASP. Wallenberg AI
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Transformers are central to many of today’s most successful AI models, from language understanding to computer vision. Yet, their success remains largely empirical, with limited theoretical understanding