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CAS will provide the necessary expertise in the analysis of complex data, including multimodal neuroimaging measurements, the use of information theory, nonlinear dynamic systems, network theory
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transition, teach-out, and post-merger support. The position serves as the primary registrar liaison for the global network campuses in the southeast region of the US, including NY, VA, NC, and FL
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• Active participation in several research cruises per year (approx. two weeks each) in the North and Baltic Sea • Taxonomic identification and quantitative analysis of marine benthic infauna and epifauna
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an interdisciplinary and international environment. Candidates should send their applications by April 30th through https://cv.newton-6g.eu/ Incorporations will begin in May 2026. DC1: Data-driven models for CF networks
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Mesh Generation for High-Fidelity CFRP Structural Analysis and Design of UAV Models: This topic addresses the challenge of decreasing the labor-intensive meshing effort, typically required in high
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eNSEMPLE. It is an interdisciplinary project at the interface between Statistical Physics, Data Science, Network Science, Computer Science and Sociology, and will involve collaborations with researchers from
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rotation and pathogen treatments Cultivate and maintain plants in greenhouse conditions Monitor and document root growth throughout the experiment Sample plant and soil material for further analysis Support
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topics: Analysis and implementation of advanced quantum networking protocols. Trade-offs in quantum resources required for distributed architectures. Topic 1 is primarily of experimental nature and Topic 2
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
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recent introductions of exotic species into France via migratory birds highlight the risk of pathogen emergence and the restructuring of infectious networks. This PhD project aims to characterize