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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 4 hours ago
) for the advancement of science. Our focus is on basic medical research. We currently employ around 270 people in science and administration, mainly at our location in Heidelberg. Another location for our institute is
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of expertise in fundamental research on condensed matter, ranging from topics such as Quantum Materials / Electronic Structure & Quantum Many-Body Theory / Nanoscience / Solid State Spectroscopy / Solid State
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ontology alignment in physics and materials domains Build and maintain ontologies, OWL/RDF knowledge graphs, SPARQL endpoints, and open benchmarking suites to guarantee FAIR, reusable research data Mine and
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: Join an interdisciplinary team that brings state-of-the-art AI
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challenges in energy, mobility, and sustainability. Traditional trial-and-error methods in materials design are often too slow, costly, and inefficient to cope with the increasing complexity of performance and
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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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of Economics and Management Faculty of Mathematics and Natural Sciences Faculty of Organic Agricultural Sciences Faculty of Civil and Environmental Engineering Faculty of Mechanical Engineering Faculty
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challenges in energy, mobility, and sustainability. Traditional trial-and-error methods in materials design are often too slow, costly, and inefficient to cope with the increasing complexity of performance and
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approach, REUNATECH supports the European Green Deal, Sendai Frame-work, and UN Sustainable Development Goals. DCs will benefit from an immersive training structure comprising cross-sectoral secondments
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consistent scientific methods for mobility planning and management, (2) integrate a new set of modular metrics for responsible mobility, (3) embed the planning methods into the open data AgiMo Digital Twin, (4