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Field
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an interdisciplinary research team developing an AI-enabled framework that translates high-level mission objectives into deployable communications signal-processing (DSP) solutions. The role combines
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safety-oriented control algorithms. · Investigate thermal management, fire suppression, and propagation-mitigation strategies for safer battery module and pack design. · Prepare technical reports
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to complex ecological networks design and implement novel coordinate-independent numerical algorithms utilising automatic differentiation and pseudo-arclength continuation methods to identify contact points
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will have a strong background in wireless communication, signal processing, and machine learning. They should also possess the skills necessary to develop complex models, algorithms, and simulations
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(NLP) algorithms applied to electronic health records (EHR) to understand cannabis-related harms in aging PWH and people without HIV. The position will entail collaborations with several investigators
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Develop event-driven algorithms and software components for autonomous experiment control and adaptive image acquisition Build scalable, maintainable, and open-source software for high-throughput image
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-invasive targeted drug delivery to the brain. Our laboratory recently developed a novel focused ultrasound-mediated targeted drug delivery platform, published in Nature Communications (https://www.nature.com
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system, Food Compass , under the mentorship and guidance of Institute Director Dr. Dariush Mozaffarian . Bringing together research, training, patient services, policy development, and community engagement
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associate will work both independently and collaboratively to develop and apply novel deep learning algorithms and/or computational chemistry methods for small-molecule drug discovery targeting RNA
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languages like Python or C, and or developing and/or using computational methods for analyzing large datasets. Demonstrated experience in developing computational algorithms for solving problems, preferably