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Oct 2025 - 22:59 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 30 Sep 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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) transmission electron microscopy (TEM/STEM), nanoindentation, and complementary microstructural and mechanical analysis methods Comparative evaluation of innovative materials with reference materials Literature
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science, physics, computational science or similar, with experience in modeling and simulation Strong understanding of the (computational) mechanics of solids and the finite element method and/or spectral
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Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented scientists the chance to work on cutting edge research projects
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Description Experimental and computational projects available at the International Max Planck Research School for Sustainable Metallurgy (IMPRS SusMet) in Germany at the partner institutes Max
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Max Planck Institute for the Structure and Dynamics of Matter | Hamburg, Hamburg | Germany | about 15 hours ago
Dynamics Research Field Physics » Optics Physics » Quantum mechanics Physics » Solid state physics Physics » Mathematical physics Physics » Computational physics Chemistry » Physical chemistry Chemistry
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Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented scientists the chance to work on cutting edge research projects
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material function. For gaining fundamental insights into the underlying mechanisms, we use and develop time-resolved spectroscopic techniques from the X-ray to the IR regime. The SFB 1249, a collaborative
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, biodegradability and appropriate mechanical properties. Few materials meet all these requirements. However, the biopolymer silk is emerging as a strong contender. Re-programming silk with state-of-the-art tools now
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performance in fuel cell (biogas) and co-electrolysis applications. To achieve this, you will employ computational fluid dynamics (CFD) and machine learning (ML) to investigate degradation mechanisms under