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rules in networks of complex spiking neuron models in the application field of geolocalization: Building up simulation model for networks of complex neurons with topologies close to neuroscience models
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Space Communication Complex (CDSCC) supports ground-based spacecraft telecommunications as part of the international National Aeronautics and Space Administration (NASA) Deep Space Network (DSN), under
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neurons. Responsibilities and tasks This PhD project aims to develop, verify, and benchmark learning rules in networks of complex spiking neuron models in the application field of geolocalization: Building
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the properties of composite, biological networks which consist of stiff filaments and liquid inclusions which arise from liquid-liquid phase separation. We will use a multi-scale approach bridging scales from
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techniques from complex-network theory. Where to apply Website https://jobs.icfo.eu/?detail=1055 Requirements Research FieldPhysicsEducation LevelPhD or equivalent Research FieldEngineeringEducation LevelPhD
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meshing of complex shapes, the project will substantially shorten preparation times and accelerate the adoption of high-order methods in industrial design and analysis. As the PhD researcher on this project
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, where current workflows still depend on substantial manual model clean-up. By removing the reliance on de-featuring and enabling reliable high-order meshing of complex shapes, the project will
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using techniques from complex-network theory. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1055
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medicine, complex disease mechanism, systems pharmacology, bioinformatics, and network science/statistical physics. This position at Northeastern University may include opportunities to collaborate with
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moderately complex configuration and maintenance of multi-protocols enterprise network equipment supporting University data and optical network. Coordinates implementation and testing of changes to the network