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the precursors and optimize the fabrication process. We also seek to combine the electrical, structural, and optical measurements to study the performance of perovskite-based solar cells in operando . - X-ray nano
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of these studies is to develop optimized treatment strategies in rheumatic diseases and to bring engineered Treg cell approaches and improved B cell depleting cell products into clinical trials. The joint
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PhD Position (m/f/d) - Atomic Layer Deposition (ALD) of transition metals for biomedical application
Overview: ALD Process Development: Design and optimize novel ALD formulations for transi-tion metals, as well as modify existing ALD processes, in collaboration with our re-search partners. A particular
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into the digital world. An evaluation based on the combined information from various sensors is to be carried out for optimal monitoring of the processes. What you will do You will be responsible for expanding
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well as cooperation of science and economy. GSaME offers the optimal conditions for graduates to earn the titles of Dr-Ing and Dr rer pol. Young scientists have the opportunity to be integrated
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scientific background and interests. This guarantees an optimal level of preparation for a high-profile career in research or industry. Course organisation In addition to the regular courses which are part of
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and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods
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the renewable energy colleagues at IMT Elucidation of the dominant separation mechanisms, to achieve both fundamental understanding and optimized process performance The PhD project will be predominantly
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if they are equally suitable. Our tasks are varied and customisable - we work together with applicants with disabilities to find solutions that optimally promote their abilities. The same applies if they do not fulfil
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Your Job: As part of the on-going EU project – LOCALISED (https://www.localised-project.eu/), this thesis focuses on integrating regional climate adaptation measures into an existing optimization