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Field
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, development of complex data visualizations, and demonstrated skill in one or more of the following areas: machine learning, statistical analysis, natural language processing and text analysis; experience
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have exceptional resources to facilitate research including access to administrative, research, and computer support staff. Required Qualifications* PhD degree or equivalent in epidemiology, gerontology
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in several areas. These include, but are not limited to, Using MPS to identify new potential targets for future medical countermeasure development Learning development and characterization
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an environment that is diverse, inclusive and respectful. Learn more about our lab here: https://bioniclab.seas.harvard.edu/ We are recruiting fellows from diverse backgrounds interested in solving tough problems
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researchers and graduate students. Required Knowledge, Skills and Abilities AI/ML Expertise: Strong knowledge of advanced machine learning, deep learning, and AI techniques. Programming Skills: Proficiency in
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the specialized subareas of machine learning, software engineering, and systems (databases, networking, etc.). An understanding of digital forensics or network forensics is a plus. Ability to work with a minimal
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discipline. Required Other None Additional Preferred Experience in optics and machine learning, or be eager to master some of these areas. Good oral and written communication skills, and the ability to work
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in writing grant applications and working with machine learning approaches such as MaxEnt, random forest, neural network. Experience using Geographical Information Systems and ecological niche modeling
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may include but are not limited to: algorithm and software development; application or development of computational or statistical methods; data analysis; modeling; statistics and machine learning
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Qualifications Work Experience: Experience with research involving animals. Animal Behavior training and testing. Single unit neurophysiology data acquisition and analysis. Skills: Highly motivated to learn