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large-scale neural models of the early visual system. Requirements The successful applicants will have: A solid computational background, an interest in cognitive neuroscience and strong deep learning
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Perception, action and control Plasticity and memory Neural computation and neurotechnology Excellent, state-of-the-art research facilities are available for the broad range of neuroscience research that is
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or computational neuroscience, artificial intelligence, psychology or a related field. strong programming skills. experience in experiments with human participants is preferred. good analytical skills and a positive
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to discover how the brain supports how new words are learned and remembered and how that may change with age? This one-year postdoctoral position in language acquisition and developmental neuroscience will give
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researcher with expertise in the area of spiking neural networks and an interest in (applications of) probabilistic computing. The postdoc candidate will participate in the NWO NWA project "Acting under
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models. Requirements The successful applicants will have: A solid computational background, an interest in cognitive neuroscience a and strong deep learning programming skills. Ability to work in an
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programmes in research and education range from nanomaterials and biomachinery to astronomy, from mathematics to pharmacy, from neurosciences to computer science, and from molecular and evolutionary biology to
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assistive robotics. Our work bridges neuroscience, biomechanics, and robotics to develop real-time models of joint biomechanics and adaptive control strategies for wearable exoskeletons and bionic limbs
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forefront of neuromechanics and assistive robotics. Our work bridges neuroscience, biomechanics, and robotics to develop real-time models of joint biomechanics and adaptive control strategies for wearable
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. Integrating HD-EMG decomposition algorithms with the CEINMS-RT musculoskeletal modeling framework to enable efficient real-time computation of joint kinetics. Developing and validating motor unit-driven