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and Electronic and Structural Characterization of Piezoelectric Ternary Metal Nitrides to promote their own academic qualifications within the meaning of Section 2 (1) of the German Academic Fixed-Term
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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Description This PhD project relates with ongoing research projects in the area of renewable energy powered membrane processes, in particular solar-powered electrodialysis at IAMT. The removal
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within the sub-project “Ternary metal nitrides – exploring fundamental optical and electronic properties towards ferroelectric functional structures”. The research topics focus on experimentally gaining
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-microbe interactions, tree defense mechanisms and forest pathology. Proficiency in English (written and spoken). Good communication skills and ability to work independently and collaboratively. We offer: A
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ability to creatively apply multidisciplinary knowledge excellent command of programming and scripting languages readiness to engage in interdisciplinary collaboration at national and international level
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invites applications for the position as PhD student (f/m/d) We are looking to recruit a PhD student for projects in structural studies of membrane trafficking using cryo-electron tomography (cryo-ET). We
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scanning electron microscopy (SEM), electron backscatter diffraction (EBSD), X-ray diffraction (XRD), and nanoindentation, for generating their own data sets Your Profile: A completed university degree
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Physiology” and “Neurobiology” is advantageous ability to work independently and capacity for teamwork What We Offer a varied job with flexible working hours free use of public transportation (“LandesTicket
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of the molecular species of the radionuclide in cellular compartments/cells using spectroscopic techniques (e.g., UV-Vis, Raman, X-ray absorption spectroscopy) and microscopic methods (e.g., electron microscopy