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for data-efficient exploration and optimization within the process parameter space as well as for adaptive, data-driven machine learning to map the electrolysis process to a digital twin. Data workflows and
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Your Job: Hydrogen is a key element of the energy system of the future. However, in many processes it is only produced in limited purity and/or is only available at low pressures. Your task is to
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Materials explores materials for lithium-ion batteries by going beyond conventional graphite anodes and present-day cathode materials. To leverage on our scientific profile exploring digital methods
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, trauma and history are entangled. Job description: In close coordination with the project management and the other project staff, the computer-assisted analysis of interviews with Holocaust survivors will
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of Population Dynamics and Sustainable Well-Being, within the Department of Digital and Computational Demography, headed by MPIDR Director Emilio Zagheni. Digital and computational demography is a growing
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materials, new processes and optimised components. Our work is interdisciplinary, international and practical. The scientific questions in our institute range from the production of materials, such as powder
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potassium channels Simulation of electrophysiology experiments Please indicate in your application which of the above-listed projects is most intriguing for you. Your profile Successful candidates have strong
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physics, engineering, medicine, biology or a related field Practical experience in optics, signal processing and working with experimental setups (e.g. MATLAB) Interest in medical diagnostics and innovation
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. We perform research and testing in materials science, materials engineering and chemistry to improve the safety of products and processes. At BAM we do research that matters. Our work covers a broad
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Contact persons Research Back Research infrastructure Back Digital Humanities Center LISA+ Quantitative Biology Center (QBiC) Tübingen Structural Microscopy (TSM) Research Data Management (RDM) Core