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field of computational evolutionary biology. The candidate will support research efforts related to artificial intelligence methods development, origins of life research, evolutionary biology, and
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related discipline, with experience in field methods and/or environmental data analysis; familiarity with Python-based workflows, AI/ML, or hydrogeophysical modeling is highly desirable. The position
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Abilities · Comprehensive understanding of statistical concepts and methods. Proficiency in at least one programing language (e.g., R, STATA ). · Excellent quantitative analytical skills, particularly in
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methodologies via PCR -based and sequencing methods. In addition, systematic phenotyping of the strains in the collection such as measurement of their relative growth rates, will be performed to add
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will lead research projects to develop, validate, improve, and apply analytical methods for the identification and quantification of metabolites relevant to chronic diseases using advanced mass
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infrastructure, budget and finance, and personnel, as well as oversight of the research enterprise, space, facilities, and computing, and outreach and communications. Collaborates with other leadership
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the computational resources assigned to the laboratory within the University’s high-performance computing clusters, including updating of core libraries and incorporation of new computational tools
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Research Computing ( EARC ) within the Office of Information Technology ( OIT ). Under the direction of a Project Manager for Enterprise Application Services ( EAS ), the Application Developer III
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, which includes finding evidence of threats or suspicious behavior and leveraging data to improve controls and processes. Monitors information security incidents throughout Rutgers’ computing
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required. Ability to use computing resources and perform bench-laboratory experiments. WORK ENVIRONMENT : Laboratory environment. Universal precautions are mandatory. Special Conditions Posting