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(WNVI) framework and aims to advance its capabilities in the following directions: • Scalability: Extending methods to high-dimensional and three-dimensional elastography problems using neural operator
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-efficiency solar cells, such as heterojunction, shingle, or tandem solar cells, using conductive adhesives. We collaborate with numerous industry partners to realize novel module technologies with conductive
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Deadline 19 Sep 2025 - 22:00 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Application Deadline 5 Oct 2025 - 22:00 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 5 Sep 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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experience handling small fish models like zebrafish or medaka You have performed immunohistochemestry / immunofluoresce, RNA in situ hybridisation and are familiar with imaging methods You are proficient in
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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Max Planck Institute for Social Anthropology, Halle (Saale) | Halle, Sachsen Anhalt | Germany | 12 days ago
ecologies”. We are looking for candidates who will establish an innovative research programme within the Department and who have a strong commitment to conducting qualitative empirical research and writing
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institutions, and a research and development provider for numerous companies throughout the world. The INM is a member of the Leibniz Association and has about 250 employees. The INM Research Department Energy
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methods in the field of RDM in Jülich and beyond and share this knowledge with our scientists in the form of workshops and regular events, supported by colleagues at Forschungszentrum Jülich Keep an eye out
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of error mitigation and error correction primitives. Thereby, the applications of quantum computing that this group is working on is diverse, ranging from various machine learning methods over optimization