97 Materials Science "Georg August Universität Göttigen" positions at Helmholtz in Germany
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Your Job: In our team you will collaboratively work on: Collaborative development of semantic artifacts in materials science, in a scale- and method-bridging approach for crystallographic defects
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information from experiment data Evaluation and development of specialized and/or interpretable machine learning approaches for the domain of materials science, physics, microscopy Incorporation of machine
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: Very good performance in your Master`s degree in the fields of energy technology, mechanical engineering, materials science, civil engineering, industrial engineering, physics, resource management
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Your Profile: Required qualifications and skills: Scientific university degree (Master’s) followed by a PhD in Physics, Chemistry, Material Science or related disciplines Profound knowledge
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possible selection criteria Research on aggregation methods for raw material requirements at technology and system level Familiarization with the national energy system model ETHOS.NESTOR and, if necessary
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Your Job: Nanoporous materials are key components in electrochemical hydrogen technologies, most importantly in the form of electrocatalytic layers (ECLs) of fuel cells and electrolysers
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Profile: Master’s degree in Materials Sciences, Chemistry, Physics, Radiochemistry or a related discipline Experience or interest in nuclear energy, waste management, nuclear fuel or spent nuclear fuel
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processing, as well as human resources management Medium and long-term planning of resources, devices and other equipment Your Profile: Completed master`s degree with subsequent PhD in chemistry, materials
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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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Your Job: Analysis and integration of diverse biological data from the field of plant sciences (large scale genomic, transcriptomic, proteomic, metabolomic and/or single cell data) using cutting