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Northeastern University London Fully Funded PhD Scholarship in Computer Science Reliable Quantum Statistics Northeastern University London > Computing, Mathematics, Engineering & Natural Sciences
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
determination by developing mathematical methods and integrating machine learning into crystallographic workflows. The successful candidate will develop theoretical and computational approaches to improve
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are excited to work across disciplines and contribute to cutting-edge research at the interface of biology, chemistry, imaging, computation, and AI. Molecular Perturbations: Chemistry Engineering Biology
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Status: Closed Applications open: 24/06/2026 Applications close: 29/07/2026 View printable version [.pdf] About this scholarship Description/Applicant information The Equity Scholarship Program
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11th October 2026 Languages English English English We are looking for a PhD student in Computational Neuroscience at the Kavli Institute for Systems Neuroscience PhD in Computational Neuroscience
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. International Excellence – Programme Goals The Centre supports academic exchange across existing boundaries: between disciplines, between different cultures and countries, between established and younger
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University of Bayreuth Centre of International Excellence “Alexander von Humboldt” Starter Grant Programme 2027 Call for Applications Application deadline: 15 September, 2026 The University
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accommodation covered) March 2027 – Notification to candidates Autumn 2027– Programme start For more details and to apply, please visit:CRG INTERNATIONAL PhD PROGRAMME 2027 - CALL Where to apply Website https
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of computational magnetism. The project aims at identifying and interpreting novel phenomena in nanoscale magnetic systems, particularly in non-collinear spin structures and magnet-superconductor hybrid systems
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Despite significant advances in numerical techniques and computing hardware, the high computational cost of large-scale 3D computational fluid dynamics (CFD) modelling remains a major challenge. A