122 high-performance-quantum-computing-"https:"-"Simons-Foundation" Postdoctoral positions at Rutgers University
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for the independent conduct of a significant element of a larger research activity in algal and seaweed biotechnology, computational biology, and genetics aimed at developing platforms for generating valuable
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for the independent conduct of a significant element of a larger research activity in algal and seaweed biotechnology, computational biology, and genetics aimed at developing platforms for generating valuable
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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preferred. Experience with atmospheric models (e.g., GEOS-Chem, CMAQ) and skills in python, Fortran and high-performance computing are also desired. Position Status Full Time Posting Number 25FA0918 Posting
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savings options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu
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developing ADRD studies of deeply phenotyped participants at high ADRD. Bloods are collected longitudinally and assessed for different types of omics. The postdoc will work closely with the PI and a team of
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communicate in English to sufficiently perform the job duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel and PowerPoint. Must
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independent research projects, work closely with clinical collaborators, mentor students, and publish high-quality research each year. US work authorization is required. Essential duties and responsibilities
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, and dissemination of results. The research program is focused on understanding prenatal determinants, such as extracellular vesicles and steroid hormones, that shape brain development and behavior
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Number: 269896 Minimum Education and Experience: The individual must have completed a PhD in biology, biochemistry, molecular biology, or metabolic engineering with extensive computational research and lab