95 parallel-and-distributed-computing-phd Postdoctoral research jobs at Rutgers University
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interface of bioinformatics, microbiome ecology, and metabolomics, contributing to both computational analyses and laboratory workflows. This position offers the opportunity to lead integrative projects
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capable of viewing gauges, computer monitors, charts, forms, text and numbers for prolonged periods. WORK ENVIRONMENT: Must be available to work flexible hours, including overtime on short notice and
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. Effective spoken and written English required. High level of computer literacy required. Experience in chromatography (including FPLC and preferably including HPLC) and electrophoresis required. Experience in
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required. High level of computer literacy required. Preferred Qualifications In-depth understanding and hands-on experience in RNA-seq and ChIP-seq sample preparation, data collection, and data processing
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. The training program is designed to impart the skills necessary for submitting successful career development awards. The emphasis on translational clinical research will require competitive applicants
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including strongly correlated fermion materials, high-temperature superconductivity, topological electronic states of matter, developments and applications of computational methods at the density-functional
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to oversee research activities outlined in NSF Grant 2520154 “Understanding Expectation-Driven Learning in Early Childhood: An Experimental and Computational Investigation,” under the supervision of Dr. Kimele
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, on program implementation and outcomes, along with producing peer-reviewed publications and public reports. The Associate will also lead the coordination of statewide and local research and practice learning
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, on program implementation and outcomes, along with producing peer-reviewed publications and public reports. The Associate will also lead the coordination of statewide and local research and practice learning
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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and