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of synaptic transmission in mammalian brain and human neurons derived from human tissue. In addition, the postdoc will perform molecular, cellular and/or electro-physiological experiments. The Postdoc will
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energy systems. Specific postdoc duties will depend on the successful candidate’s skills and interests, matched to project needs, with time allocated to pursue independent, discretionary work
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, formulates, and applies policies and procedures. Maintains awareness of emerging Artificial Intelligence (AI) technologies, tools, and frameworks, including Machine Learning (ML), and Natural
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including the ability to use Microsoft programs, such as, PowerPoint, Word, and Excel. Preferred Qualifications Familiarity with Rutgers systems and PEARS. Equipment Utilized Computer, Microsoft programs
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using Microsoft Office Suite, particularly Excel, Word, PowerPoint, and database management tools. Preferred Qualifications Master’s degree in data science preferred. Experience administering limited
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conferences. Level of Decision Making: The postdoc will design and optimize experiments, particularly for Next Generation Sequencing workflows, including library preparation and data analysis. They will
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ability, attention to detail, and a positive, team-oriented attitude. Candidates must be computer-savvy and quick learners with proficiency in MS Word, Excel, PowerPoint, and Adobe Illustrator and Photoshop
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exploring novel immune cells and the mechanisms of human health and disease. In addition, the Postdoc(s) will participate in lab meetings, research in progress seminars, and presentations at conferences
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systems, from the physical fabrication of flexible printed circuit boards (FPCBs) to the implementation of machine learning algorithms for real-time signal analysis. The postdoc will collaborate in a
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computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Preferred Qualifications Prior research experience preferred