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Design, Software Engineering, Computer Engineering, Robotics, Autonomous Systems or comparable. Contact-rich tasks in assembly often involve complex physical interactions and high sensitivity to parameter
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from machine learning, data science, and education with insights from educational practice. Drawing on large-scale data from authentic educational contexts, the project aims to generate robust and
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Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). For TUD Dresden University of Technology diversity is an essential feature and a quality
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conference proceedings. You should also have a strong history of obtaining competitively awarded external funding. Experience in the analysis of very large datasets ('big data') is desirable. We expect your
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23 Apr 2026 Job Information Organisation/Company European XFEL Research Field Physics Researcher Profile Other Profession Positions Postdoc Positions Application Deadline 29 May 2026 - 23:59 (Europe
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to improve Natural Killer cell function in cancer Identify functional modules required for high anti-tumor NK cell effector functions using cutting-edge, state of the art large scale screening technologies
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Universitätsklinikum Heidelberg – UK Mannheim GmbH | Mannheim, Baden W rttemberg | Germany | 8 days ago
endothelial cells. Your tasks: Develop and implement computational pipelines for analyzing large-scale biological datasets Integrate and interpret multi-omics data to support research objectives Maintain and
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route, developmental stage, and tissue-specific expression. Bridging the gap between small-animal models and clinically relevant large-animal systems, such as porcine models, is therefore a critical step
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Your Job: In an interdisciplinary team, you will implement approaches for the automated, large-scale availability and integration of energy system data and models, applying data science methods
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practical experience at large scale facility (e.g. SR, FEL) Knowledge of programming languages, Matlab, C++ or Python For additional information, please contact Dr. Michael Meyer (michael.meyer@xfel.eu