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, to understand how brain networks and symptoms evolve within individuals over time. These studies combine high-frequency neuroimaging, behavioral assessment, wearable data, and digital phenotyping to characterize
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preparation of scientific publications related to the project. The postdoc will work in close collaboration with a network of bioinformaticians specializing in the design and development of data analysis
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Leipzig, Sachsen | Germany | 20 days ago
employment. Starting date: 01.05.2026 Job description:PhD Student (f/m/d) Tomographic analysis of flow fields in pore networks affected by clogging With cutting-edge research in the fields of ENERGY, HEALTH
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This doctoral position is part of GRAIL (“Gamma Radiation from the Atmosphere for Investigation and Learning”), a prestigious Horizon Europe Marie Skłodowska-Curie Actions Doctoral Network (MSCA-DN): https
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analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless Communication Solutions, IoT
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. The work further includes detailed analysis of nuclear pore complex architecture using electron tomography and 3D serial block-face scanning electron microscopy, supported by advanced image analysis tools
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Program Manager (Value Analysis) - UI Health, Materials Management Hiring Department: Materials Management Location: Chicago, IL USA Requisition ID: 1040518 FTE: 1 Work Schedule: Monday - Friday
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Cellular Core/Network Automation DevOps Engineer Senior to join our Infrastructure Engineering team. In this role, you will contribute to the design of advanced private and public cellular, RF, IP network
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NEST: https://nest-simulator.readthedocs.io Your tasks in detail: Work with the NEST main code base and experimental branches Dissect the spiking network simulation cycle into phases and capture the flow
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Mapping the Mains: AI-assisted Monitoring of Drinking Water Networks Drinking water networks are critical