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Field
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powerful model platform, the lab aims to develop an integrative understanding of how animals adaptively respond to their sensory world, from molecular detection to the neural algorithms of complex motor
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intelligence is preferred in candidates applying for this position. Responsibilities Design, develop, test, and debug complex software programs. Implement and optimize algorithms (ML + AI) for data-intensive
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. This work involves developing novel techniques, algorithms, and software packages that enable more robust and scalable approaches to cybersecurity using AI-based techniques. In addition to technical
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approaches for important questions in neuroscience. We have multiple current and incoming NIH projects to establish cellular cell type architecture maps of mammalian brains using mice as an animal model. Three
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multiple priorities and a multi-disciplinary environment. Qualifications: Minimum Bachelor’s Degree in Machine Learning, Data Science, or Statistics, or another field of science or engineering with relevant
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learning. At least five (5) years of experience in AI/ML/DL or equivalent combination of education and experience. Demonstrated experience in algorithm development and structured programming ability
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depends on the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here
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research activities, assists in preparing human subjects protocols, manages and analyzes data across multiple projects. Contributes to building traditional statistical models and machine learning algorithms
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creating data algorithms and specialized computer software to identify and classify components of a biological system (i.e. DNA and protein sequences). Applies basic application of computational tools and
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accordance with placement guidelines, fill algorithms and in collaboration with PFCs as needed. Prioritize patient placement from multiple in-coming locations i.e. home, clinic, outside hospital transfers