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Profile: Masters degree in physics, materials science, physical chemistry, electrical engineering and related disciplines Very good grades in the masters and bachelors degrees are mandatory Knowledge
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for self-supervised learning in science Engage in national and international ML/DL communities, most importantly the Helmholtz Foundation Model Initiative Present research results at scientific meeting
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) in chemistry, materials science, geoscience, physics or related field Experience in laboratory work, e.g. synthesis and/or physicochemical characterization such as IR, CHN, PXRD High motivation
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results in reputable scientific journals to share knowledge and contribute to the advancement of the field Your Profile: Completed Master`s degree in the field of economics, social sciences, data science or
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, including JUPITER, Europe`s first exascale computer Prepare, process and publish datasets and benchmarks for self-supervised learning in science Engage in national and international ML/DL communities, most
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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: Future battery technologies are urgently needed to make electromobility and home storage even faster and more powerful. In order to increase battery performance and energy density at cell
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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
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electrode active materials, especially for the positive electrode (cathode), still need to be further developed in order to achieve similar performance to current Li-based active materials. Therefore, known
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electromobility and home storage even faster and more powerful. In order to increase battery performance and energy density at cell level, electrode materials are to be specifically optimized for high-performance