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for implementing ONNs. Modeling, simulate and benchmark different computing tasks such as combinatorial optimisation tasks and solving partial/ordinary differential equations with ONNs. Design and tapeout ONN chips
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on addressing the complexity of the device-software-application-data design space, enabling systematic and efficient exploration using modeling and simulation tools.## Key Responsibilities- Identify and
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similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural recordings Familiarity with neuroanatomy and neurophysiology Knowledge of dynamical
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 14 days ago
methods, with focus on the relations between reactions’ activity/selectivity and catalyst structures, reaction environment and reactor designs Simulations of reaction schemes and transport phenomena
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to act first and evaluate much later. This PhD project closes this gap by: integrating the porous-media solver of DuMux, the IWS-developed simulator, with its new shallow-water module recently created in
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the development of a Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and
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, including M.Sc. thesis, if available Copy of up to three selected publications, if available Copy of academic degree/diploma (if available) and/or academic transcripts (course grades / subject scores) at
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as your proposed principal supervisor, and copy the URL link to this scholarship website into question 2 of the financial details section. About the scholarship This PhD project will investigate how
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retrieving, storing and organizing large amounts of sensor/equipment data. Experience in building data-driven and simulated models using advanced data analysis techniques, including predictive timeseries
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environment featuring a wide range of research activities, including QM/MM simulations, ionic liquid simulations, and excited-state characterization. The aim of this PhD thesis is the atomistic modeling