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, excellent communication skills, excellent computer literacy. Certifications/Licenses Required Knowledge, Skills, and Abilities PhD in life sciences. Experience with proteomics, bioinformatics, mass
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understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
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Associate will assist a Principal Investigator Leon Shterengas in the Department of Electrical and Computer Engineering . The incumbent will conduct research on semiconductor photonic device nanofabrication
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to work standing at bench, seated at biosafety cabinets, or in front of a microscope for extended periods while performing scientific experiments. Ability to work in front of a computer for extended periods
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Zheng, and other collaborators to develop statistical and machine learning methods for medical decision-making in cancer prevention and early detection. Key areas of focus include, but are not limited
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: Proficient with Python, R, and Linux/Unix systems. Strong skills in computer scripting and pipeline development. Experience in project management Experience in network analyses. Previous post-doctoral
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relevant programming languages. Ability to use/learn several advanced modeling methods (e.g., statistical, mathematical, individual-based, or machine learning models). Experience with high-performance
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relevant programming languages. Ability to use/learn several advanced modeling methods (e.g., statistical, mathematical, individual-based, or machine learning models). Experience with high-performance
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to junior researchers, graduate students, and lab technicians, fostering an environment of learning and collaboration. Statement In this position, the Postdoctoral Fellow will frequently encounter complex