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Your Job: The joint project PHOENIX - Launch Space Power-to-X plays a central role to align the innovation cycles of P2X technologies with the long-term goals of the energy transition, the European
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SPM images of single molecules into their respective 3D molecular structures. Aim: Design, build, and test computer programs to interpret SPM images into 3D molecular structures. Fields: code
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of statistical analysis of genetic, proteomic data and their links to neuropsychological phenotypes Interpretation and interdisciplinary discussion of research results Design and implementation of own research
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hearing loss. However, current neural devices are large, complex, and invasive, and are therefore used by only a fraction of people who could benefit from them. The goal of NANeurO is to design new
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-tracking technology, Computer Vision, Speech/ Language Processing, VR, and AR. • Know-how/Interest in designing user studies. • Excellent communication skills and a collaborative spirit to work with
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computational approaches, including artificial intelligence (AI), to unravel the mechanisms driving neuroimmunologic diseases. Your responsibilities: Plan and perform innovative large-scale experiments bridging
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Postdoc (f/m/d) Research Data Management and Data Visualization / Completed university studies (P...
Data Management and Data Visualization. Your tasks # Work with existing APIs for data access from various sources and design own APIs; combine different kinds of data such as sampled field data, geo
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methods (e.g. X-ray reflectivity, X-ray fluorescence) Design of cells and reactors for operando studies Coordination and execution of synchrotron beamtimes Collaboration with other groups, in particular
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
. The Department of Machine Learning for Materials Design is looking for a Postdoc (f/m/d): Machine Learning for Materials Modeling. Scope of Your Job In this role, you will contribute to ongoing research efforts in
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, molecular biology and fluorescence imaging will be preferred. We offer an interdisciplinary research environment that fosters innovation and collaboration and are committed to training and career development