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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
We welcome applications from candidates with a broad range of academic backgrounds and experiences for a 4-year PhD project on Mathematical and Machine Learning Aspects in Crystallography at Durham
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. This project aims to develop innovative ways to reuse this material in cement-based products, helping to reduce environmental impact and support more sustainable, resource-efficient mining. Duties As a PhD
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monitoring of biomolecules. In this PhD project, you will explore a novel direction: you will study how nanoswitch sensors can be designed for the continuous monitoring of complex nucleic-acids with dynamic
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The future of software engineering is AI-native. Our team works to shape that future through pioneering research, practical engineering methods, and close collaboration with government, industry
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, Computer Science, Engineering and Molecular Medicine. Applicants must hold, or anticipate receiving before starting at EMBL, a university degree that would formally qualify them to enter a PhD or equivalent
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collected after a device enters the market. In this PhD project, which is part of the European COMPASS4MD project, you will study how these decisions are currently made in practice, and how uncertainty could
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on the candidate’s skills and interests, but may include genetically engineering microbes to change form and function, developing theory and AI methods that advance our ability to design reliable, engineered
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these aircraft share the airspace with conventional traffic, and what that would mean for air traffic control and safety. This is exactly what this PhD project aims to answer! The primary focus of the research
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Application deadline: 15.11.2026 This PhD will be undertaken over a total period of 70 months and will combine research and teaching responsibilities. This PhD project is fully funded; students who
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Political sciences Sociology Communication sciences Architecture Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Apr 2027 - 12:00 (Europe/Berlin) Country Germany