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Field
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Machine Learning Scientist to join the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of artificial intelligence (AI), including
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human disease, and developing and applying new computational algorithms to decipher it Enjoy working closely and collaboratively to solve complex biological problems Able to lucidly present complex
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Position Details Position Information Recruitment/Posting Title CS Summer Research– Grad Student Department SAS - Computer Science Salary Details 3375 Offer Information The final salary offer may be
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computational models, algorithms, or theory to probe the mechanisms of learning and memory. Ideal candidates will work across levels—from molecules and synapses to circuits and systems—and contribute
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equipment. You will ensure sensors are calibrated and will implement, improve, and interpret data quality assurance algorithms. You will also produce reports as needed for distribution to agricultural
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required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing resources
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scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest ML tools and frameworks
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science
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. CORE JOB FUNCTIONS ● Runs and maintains existing next generation data analysis pipelines. ● Assists senior bioinformatics analysts in pipeline and algorithm development and validation. ● Extracts
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of function. We have NIH-funded and industry-sponsored projects to develop, validate, and apply computer-based models of electrical stimulation of peripheral nerves to design improved therapies. The successful