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Field
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interdisciplinary team from electrical, mechanical, and chemical engineering, as well as physics and chemistry, with the intention to bring promising new 2D materials out of the laboratory and into the market-place
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investigating degradation mechanisms within the framework of green energy conversion and climate change. The open position aims to understand catalyst stability at the nanoscale during electrochemical processes
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opportunity to contribute to cutting-edge research aimed at understanding microbiome-driven mechanisms and developing novel strategies for disease prevention and treatment. You will collaborate with renowned
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combine computer simulations and machine leaning models to extend their compatibility with problems from mechanical engineering and materials research that could not be addressed so far due to their high
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mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High
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necessary research materials and infrastructure a family friendly working environment that provides a healthy work-life balance and company health management welcome service for internationals Requirements
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Your Job: The electrocatalytic interface engineering department led by Prof. Dr.-Ing. Simon Thiele focuses on synthesis, manufacturing, analysis and simulation of functional materials to find
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highly motivated candidate to develop models integrating machine learning and domain-specific knowledge to predict failure arising from hydrogen embrittlement. You will carry out materials testing
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“Multi-modal proteomics to understand and overcome niche-related adaptive drug-resistance mechanisms in FLT3-mutated AML“ we are looking for a PhD student. The project is is part of the SFB/CRC 1709
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grades in the field of mechanical engineering, material science, physics, computational science or similar, preferably with a specialization in the field of theory and/or simulation Strong understanding