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: Focus Data science and/or statistical methods development addressing questions of health, technology, housing, education, innovation and others impacting national and international urban communities
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programs Posting Summary Prof. Kaelber is recruiting a “dry lab” scientist for methods development in evolutionary biology. The postdoctoral associate will develop and benchmark methods for evolutionary
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, or related biomedical fields, and an interest in applying interdisciplinary research methods to the study of aging and Alzheimer’s disease prevention. The position is renewable and the anticipated start date
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are essential. · Record of peer-reviewed publications Certifications/Licenses Required Knowledge, Skills, and Abilities · Comprehensive understanding of statistical concepts and methods. Proficiency in at least
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activities various relevant projects to develop a breadth of experience and skills in team research of primary care research or methods relevant for the program and fellow. Minimum Education and Experience: US
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/contrastive methods, attribution) and evaluating calibration and uncertainty is essential. City: New Brunswick State: NJ Physical Demands and Work Environment: Physical Demands: The applicant needs to be
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that are properly folded and competent for protein translation. Force spectroscopy (optical and magnetic tweezers), single-molecule fluorescence, and bulk biochemical methods will be used to investigate how
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., concept bottlenecks, prototype/contrastive methods, attribution) and evaluating calibration and uncertainty is essential. Certifications/Licenses Required Knowledge, Skills, and Abilities Strong software
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constructs for biochemical and structural analyses. Determines structures of HTCS proteins and/or domain constructs using appropriate methods such as X-ray crystallography and cryoEM. Minimum Education and
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breadth of experience and skills in team research of primary care research or methods relevant for the program and fellow. FLSA Exempt Grade Salary Details Minimum Salary 20,000 Mid Range Salary 90,000