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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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Optimization group within the Delft Institute of Applied Mathematics at TU Delft is offering a full-time PhD position in the area of combinatorics. During the PhD, you will work on topics at the intersection
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Job description The Discrete Mathematics and Optimization group within the Delft Institute of Applied Mathematics at TU Delft is offering a full-time PhD position in the area of combinatorics
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Engineering » Computer engineering Engineering » Knowledge engineering Mathematics » Algorithms Mathematics » Mathematical logic Technology » Computer technology Technology » Knowledge technology Researcher
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23 Sep 2026 Job Information Organisation/Company Babes-Bolyai University Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline
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Max Planck Institute for Solid State Research, Stuttgart, Hamburg, Halle, Dresden | Dresden, Sachsen | Germany | 7 days ago
has an open call for multiple fully funded PhD student positions. Deadline for submission of your application is December 8th 2026! Five Max Planck Institutes (Dresden, Hamburg, Halle and Stuttgart
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, electronics, biostatistics, mathematics, physics, biomedical engineering, or related fields). At the date of application, the candidate must be enrolled in a doctoral (PhD) study programme. Basic programming
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awareness These funded PhD scholarships are suitable for students with a background in Computer Science, Mathematics, Engineering and Cognitive Science. Students with interests in machine learning, deep
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well as the development of numerical methods that can eventually be applied to large-scale wave-imaging problems. The PhD project will have a strong mathematical component. You will investigate questions concerning
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PhD Studentship: Robust, Certified, and Scalable Federated Machine Unlearning for Privacy-Preserving AI About the Project As federated learning systems become increasingly embedded in high‑stakes