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Field
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Quantum Technologies (LNQ) we are looking for a Postdoctoral Fellow in Ion Trap Quantum Computing Your tasks Operate and further develop a complex ion trapping experiment based on the QCCD architecture
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ultramafic rock systems. The position is associated with ongoing research aimed at advancing understanding of mineral fluid interaction processes and their impact on subsurface architecture and petrophysical
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position. This position is designed for a researcher who sits at the intersection of theoretical and experimental physics. The successful candidate will lead the architectural design/modeling/simulation of a
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disciplines are eligible: legal sciences political science/international relations business/economics humanities and social sciences natural sciences computer science medicine architecture, only in connection
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to compare the genetic architecture of rare vs. common genetic variation 2. Developing methods to analyze GWAS data using graphical models and genome-wide genealogies 3. Developing methods to integrate rare
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the team You will join a collaborative and interdisciplinary team bringing together expertise in architecture and building science, urban planning, geography, respiratory epidemiology and geospatial
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hand and body configurations, surfaces, graphs and in permutations of inputs. Prominent architectures - including Graph Neural Networks (GNNs) and Convolutional Neural Networks (CNNs) - can be viewed as
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. Typical research questions could be: How can tacit systems-architectural knowledge be captured and shared between humans and with machines? How to effectively collaborate on an architectural level with AI
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architectures (CNNs, RNNs). Experience with explainable AI (e.g., SHAP, LIME) is preferred. Quantitative Analysis: Demonstrated ability to handle multimodal datasets, conduct statistical analysis, and apply
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architectures (CNNs, RNNs). Experience with explainable AI (e.g., SHAP, LIME) is preferred. Quantitative Analysis: Demonstrated ability to handle multimodal datasets, conduct statistical analysis, and apply