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-ray observatories, and involve complexity analysis on uniquely variable sources. Applicants with general experience related to these observatories, timing variability of compact sources, time domain
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Biology, Bioinformatics, Computer Science, or a related field • Strong programming skills in R and/or Python • Experience with analysis of single-cell sequencing data • Familiarity with spatial
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for one year. The associate will have the opportunity to assist with data analysis and manuscript writing for a recently completed large randomized clinical trial on smoking cessation induction within a
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, experience with biosensing engineering, conducting data analysis, mentoring students, and contributing effectively in collaborative research environments. To apply, candidates should submit a cover letter
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applies standard techniques of routine and non-standard research, keeping detailed records of data. Uses computers and laboratory or technical equipment to perform data analysis, statistical analysis, and
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(IRB), Radioactive Drug Research Committee (RDRC) and FDA Investigational New Drug (IND) approval, as well as PET analysis and outcome measures. Successful applicants will have a Ph.D. and/or M.D. degree
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will be required to have a pre-employment Motor Vehicle check, and the Motor Vehicle Report must clear RIT's Safe Driving Policy . (see Page 4) Preferred Qualifications Bench work, including analysis
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monitoring and control technologies applicable to molten salt and liquid metal systems Develop and test new materials and cell configurations for the production of salt and metal products. Perform experiments
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technologies. The Pritykin lab (http://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi
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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from