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administrations of Helmholtz Munich and TUM, external partners, and funding institutions worldwide. Plan, organize, and participate in scientific meetings and workshops in Munich and abroad. Review and edit
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ecosystem and provides an excellent environment for professional growth and development. What you can expect Independently develop and apply computational methods to map molecular trajectories from normal
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issues relating to family, childcare, and caring for relatives. Our “Prof.-Programm” offers exclusive status-related exchange and consulting formats, in particular to newly appointed professors
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is using state of the art machine learning tools to extract interpretable latent dynamics. We seek a highly motivated PhD student to develop a predictive computational model using recurrent neural
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development of evaluation methods (e.g., in Python) Support in conducting experiments in the laboratory What you bring to the table Current studies in engineering, materials science, computer engineering, or a
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workplace is truly meaningful.“ Get to know us Benefits Career Development: Postdoc program, scientific training & career center with tailored offers Scientific Resources: State-of-the-art infrastruture and
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computational models with the "exact" but lower resolution information available from experiments. Job description: Application of specially developed approaches to define for transferable force-fields with
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to standardized data containers (e.g., RO-Crates) You will be involved in the maintenance of other tools from the field of research data management (e.g., Data Management Plan Generator, Ontology Curation Tools
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, computer engineering, or a comparable field (bachelor's/master's degree) Interest in modern manufacturing technologies and welding processes Experience with Python/data analysis Structured, independent
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. When will