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collaboration (neuroscientists and device physicists) Your Profile: Master’s degree in electrical/electronic engineering, physics or related fields Strong skills in mixed-signal circuit designs (TIA, ADC, …) and
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-free double perovskites Your Profile: Master`s degree in theoretical or computational physics, chemistry, materials science or similar fields Familiarity with atomistic simulations, high-performance
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Your Profile: University degree (Master) in Physics, Chemistry, Computer Science, or related fields, with an overall grade of at least “gut” (or equivalent, e.g. cum laude) Expertise in quantum mechanics
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the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
career in science and/or industry A comprehensive training program, including soft skills, along with an flexible working hours and various opportunities to reconcile work and private life Flexible working
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
-based digital twin, which can predict the assortment and sequence of two-dimensional all-DNA motifs required for the engineering desired tessellation patterns at the nanometer scale. We will use available
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publications and project reports Support in establishing the institute Your Profile: Master`s degree in physics, chemistry, materials science, chemical engineering, or a related discipline Extensive knowledge
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Your Job: As part of a collaborative research project funded by the Federal Ministry of Research, Technology and Space (BMFTR), and conducted in cooperation with academic and industrial partners
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and develops a wide range of topics related to chemical hydrogen storage along the entire process chain. We place a particular emphasis on LOHC technology, addressing issues across different scales. Our
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or diploma in physics, biophysics, applied mathematics, chemistry, or a relevant engineering discipline Strong motivation to study motility of microswimmers and develop computational models Good programming