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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
on unravelling the origin of the elevated corrosion rates of AM-built Mg- and Zn-alloys. The work will revolve around micro- and nanoscopic visualization of initial micro-galvanic activity upon metal contact with
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
, scanning speed, layer thickness, scan strategy and subsequent heat-treatment) has a significant effect on the microstructure (grain size, alloying elements distribution, crystallographic texture), mechanical
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of biodegra
at metal-electrolyte interface; gain understanding of the factors influencing the initiation and propagation of localized corrosion and associated mechanically assisted corrosion. Research stays are planned
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to three thematic modules (Cognitive Neuroscience, Clinical and Translational Neuroscience, Development of Neuroimaging and Modelling Methods). Our faculty is very interdisciplinary and comprises more than
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waste. REC² establishes the scientific foundation for the electronics of the future, including new material platforms, component concepts, and integrated systems that enable the realization of responsible
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basic cell biology, e.g. CRC1450, TRR332 and SFB1348. RESPONSIBILITIES: Experimental investigations including cell biological, immunological, biochemical and microscopy methods Documentation of data and
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. Using modern quantitative methods, our primary research is focused on personalized diagnostics and therapy. Overview of the position You are responsible for laboratory-based experimental work and the
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knowledge of numerous histological methods and imaging techniques The opportunity to pursue a doctorate Excellent facilities and equipment A wide range of opportunities for cooperation at local, national and
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. Your tasks will include the development, validation and application of suitable target and non-target LC/MS methods for characterizing the entry and degradation pathways of relevant organic
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)Informatics/Data Science or related disciplines is desirable. The positions focus on the development and application of new methods to predict multi-omic traits and phenotypes from large genetic datasets. More