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: Reference number 3694: PhD student researching and developing alternative methods to animal testing (f/m/d) Pay grade: 13 TVöD Place of work: Berlin and Hannover Limited for three years Application deadline
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inviting applications for a PhD Student (f/m/x) in the field of Theory and Methods for Non-equilibrium Theory and Atomistic Simulations of Complex Biomolecules Possible projects are variational free energy
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the durability of materials and improve recycling processes. Be part of this change and explore cutting-edge methods in chemical, mechanical, and plasma processing of metal ores for a truly circular economy
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consistent scientific methods for mobility planning and management, (2) integrate a new set of modular metrics for responsible mobility, (3) embed the planning methods into the open data AgiMo Digital Twin, (4
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Foundation (DFG) project "Kernel interpolation on Riemannian manifolds", led by Dr. Janin Jäger. The project focuses on the mathematical analysis of kernel-based methods, in particular their interpolation and
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characterization using spectroscopic and microscopic methods is required. • Experience in membrane separation and vacuum apparatus is highly desirable. • As an international research institution, we require a
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quantification, model-order reduction, or multi-fidelity methods. The primary fields of application are life science, medicine and health, earth observation, and robotics. Consequently, a MUDS student will learn
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and Marine Research. The tasks include: scientific advancing methods of satellite altimetry analysis over the Antarctic Ice Sheet analysis of measured surface elevation changes in conjunction with
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competences are desirable: Solid knowledge of solid-state (semiconductor) physics Good knowledge in technical optics and solid-state optics Experience in Ellipsometry method Basic knowledge in programming
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spoken English skills Following competences are desirable: Solid knowledge of solid-state (semiconductor) physics Good knowledge in surface science Experience in epitaxy and surface science methods Basic