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: biomimicry, biofabrication techniques, biomaterials, biosensors, wearable electronics, and machine learning • Experience with mechanical and rheological testing of biodegradable or soft materials • Hands
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at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Perform quality checks of brain PET/MRI cognitive, clinical, genetic
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experience through research, internships, and industry-sponsored capstone projects. With a versatile curriculum spanning software, systems design, nanofabrication, and machine learning, the program prepares
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Genome Curation Assistant (Jarvis ): an AI system that combines modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting
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. Kyriakopoulos seeks to improve the autonomy of Field Robotic systems by fusing control theoretic and machine intelligence approaches. Formal models are directly applied in real experimental facilities. Marine
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learning, motivation, and decision-making circuits. You will have strong quantitative and programming skills along with a track record of using computer programs to design experimental paradigms
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. The candidates are expected to work in a highly collaborative environment with other lab members and industry collaborators. Requirements: Applicants should have a PhD in Computer Engineering, Computer
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field Computer Skills General office suite and willingness to learn lab specific programs Strong programming skills in R and/or Python Experience with Next Generation sequencing Record of peer-reviewed
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College of Agriculture and Life Sciences (CALS), where full-time faculty and other renowned professionals direct world-class, mission-driven programs. Staff at the Lab teach undergraduate courses, advise
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, ventriculomegaly). Experience in machine learning statistical methods. Experience in the acquisition of infant neuroimaging data. Prior experience working with infants and children in a research setting. Enthusiasm