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Field
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Degree PhD or (if applicable) Dr rer nat Course location Hannover Teaching language English Languages English (100%) Full-time / part-time full-time Programme duration 6 semesters Beginning Winter
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); Doctorate in Physics, Computer Science or related fields (for Post-Docs). The positions are funded via the Cluster of Excellence (Machine Learning for Science), the ERC Starting Grant ArtDisQ and the
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Degree PhD or (if applicable) Dr rer nat Course location Hannover Teaching language English Languages English (100%) Full-time / part-time full-time Programme duration 6 semesters Beginning Winter
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PhD doctoral candidate (d/f/m) Predictive Tissue Medicine Specialty Pathology Apply now Work time part-time Start date Now Employment period limited Application deadline 18.12.2025 Deployment
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Degree PhD or (if applicable Dr rer nat) Course location Hannover Teaching language English Languages English (100%) Full-time / part-time full-time Programme duration 6 semesters Beginning Winter
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machine learning We offer: Academic freedom to pursue your scientific interests related to infection biology, inflammation, gene expression, and intracellular organization Competitive salary including
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Time Span 01 Apr 2026 for 4 years Application Deadline 15 Dec 2025 Areas of study Development Co-operation, International Relations, Political Science, Developmental Psychology, Clinical Psychology, Psychology, Social Psychology, Business, Occupational, and Organisational Psychology,...
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Program PhoQS FUTURE in Fall 2026: Up to 10 Research Assistants (PhD Positions) (f/m/d) (Salary level according to 13 TV-L) with 75%–100% of the regular working hours (depending on the project and research
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on these topics. One position is in the "X‑Ray Nanoscience and X‑Ray Optics" group and the other is in the "Computational Imaging" group. The PhD projects are embedded in the frame of the ErUM data project CmarT
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Description For our location in Hamburg we are seeking: PhD student for information field theory and ptychography Limited: 3 years | Starting date: earliest possible | ID: FSDO017/2025 | Deadline