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responsiveness toward a set of interventions. The program also involves a series of laboratory endpoints related to neurology, immunology, physiology, pathology, using methodologies like FACS, qPCR
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, Biomedical Engineering, Robotics, or related fields Strong programming skills (Python, MATLAB, and/or C++/C#) Knowledge of machine learning techniques, particularly for time-series data The following skills
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for species previously limited by technical or financial constraints. This technically ambitious project sits at the forefront of evolutionary and biodiversity genomics, with the potential for field-defining
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CMOS implementation of event-based processing for edge-AI applications. The project will explore: SSM formulations adapted to spiking dynamics SSM implementation for time-series classification
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considers ONE or more of the following: International business, multinational corporations and their strategies, fiscal capacity, money and politics, business and democracy (please see below for guidance