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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
PhD position – Ad Print4Life DC12 Reference code: 50156134_2 – 2025/MO 4 Commencement date: March 1st, 2026 Work location: Geesthacht (near Hamburg) Application deadline: December 31st, 2025 EU
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Research Infrastructure? No Offer Description Join the prestigious Marie Skłodowska-Curie Actions Doctoral Network SHIELD (Strategies for Healing Implant-associated infections and Enhancing Longevity in
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD position – Ad Print4Life DC11 Reference code: 50156132_2
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
PhD Position – Ad Print4Life DC14 Reference code: 50156137_2 – 2025/MO 5 Commencement date: March 1st, 2026 Work location: Geesthacht (near Hamburg) Application deadline: December 31st, 2025 EU MSCA
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of biodegra
Cutting-edge Research for a Changing World PhD position – Ad Print4Life DC11 Reference code: 50156132_2 – 2025/MO 3 Commencement date: March 1st, 2026 Work location: Geesthacht Application deadline
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Reference code: 50156134_2 – 2025/MO 4 Commencement date: March
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position – Ad Print4Life DC14 Reference code: 50156137_2
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-funded project Print4Life, a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Cecilia Persson, Uppsala University. Print4Life – Advanced Research Training for Additive Manufacturing
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prestigious Marie Skłodowska-Curie Actions Doctoral Network SHIELD (Strategies for Healing Implant-associated infections and Enhancing Longevity in Devices) and contribute to cutting-edge research aimed
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demands. To break this bottleneck and cut simulation time by orders of magnitude, you will design and implement surrogate models that learn the behavior of full‑physics codes using modern machine‑learning