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Field
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Engineering, Neuroscience, or related fields. Tasks to be performed: Collection of experimental data in humans, development of neural decoding algorithms from bioelectrical signals, and development of a
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role involves designing and integrating real-time software algorithms with robotic hardware, including perception, control, communication, and safety modules to enable safe, precise, and reliable remote
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algorithms that combine Reinforcement Learning techniques like Partially Observable Markov Decision Processes (POMDPs) with cognitive inference modules capable of modelling human beliefs, intentions, and goals
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degree (or equivalent) in Biology, Evolutionary Biology, Molecular Biology, Bioinformatics or a related field Strong interest in molecular evolution, genomics, epigenetics, and chemical ecology Prior
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, accelerate global biodiversity discovery through open museum data, and unravel the evolutionary history of Annelida – a diverse, ecologically important, and globally distributed but still understudied animal
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reliable decision-making. Evolutionary algorithms will be employed to efficiently explore the parameter space and undertake sensitivity analyses. The integrated framework will be validated using analytical
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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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Degree Doctoral degree in biology, neuroscience, ecology, evolutionary genetics Doctoral degree or degree awarded by Ludwig Maximilian University of Munich and Technical University of Munich Course
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algorithms suitable for multi-static and distributed geometries. Understanding the performance limits of such systems, including sensitivity to synchronisation errors, geometry, transmit time, and partial
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 9 days ago
: Large-Space Gaze Analysis via Multi-camera System for Social Interactions” to develop datasets and algorithms to capture and analyze eye gaze. About the project We are supporting the development of highly