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Field
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complex dynamic system. Minor disruptions can lead to major delays with traffic jams spreading like oil spills over entire networks. We believe traffic management based on reliable predictions is therefore
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the theory of brain-inspired algorithms and apply them to complex, real-world problems. The successful candidate will join an interdisciplinary team of computer scientists, mathematicians, engineers, and
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aligned with the broad mission of the Science, Medicine, and Society Lab; Preparing manuscripts, conference papers, and grant or fellowship applications; Building scholarly collaborations and networks
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woven a sound academic and research network, and its recruitment process is seeking high-quality academics and professionals to boost its quality-oriented research environment in the metropolitan area of
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- Strong programming skills in R, Python or similar languages - Intrinsic motivation to work on complex, real-world problems with societal relevance Nice to have: - Experience with spatio-temporal
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learning or neural networks), etc. The experience could come from lithium-ion, lithium-ion capacitor, sodium-ion, or other battery technologies. You have solid skills in Matlab/Simulink simulation tool
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 2 months ago
and Alzheimer’s disease Key research methods: fMRI (including 7T), MEG, virtual reality (VR), a wide variety of cognitive tasks, psychophysics, machine learning, deep neural networks, and computational
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in complex operation environments Working with rapid prototyping tools (dSPACE) to recreate charging profiles and communication protocols of electrical vehicles Working with IoT, meters, controllers
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research components. First, the candidate will develop a globally applicable river-network sediment-routing model, building on frameworks such as CASCADE (Schmitt et al., 2016) or the Network Sediment
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of many more complex processes that should harbor a wealth of undiscovered druggable targets. Thus, a large space of potential druggable biology is entirely ignored. We aim to fundamentally revolutionize