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pain-related animal behavior, rat and mouse handling, drug discovery, general pharmacology, and statistics. This position offers an excellent opportunity to be part of cutting-edge neuropharmacology and
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, Genetics, Cell Biology, Biophysics or a related field - Competency in computational (R or Python) and statistical analysis - Competency in experimental design and standard molecular biology, imaging
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). Ability to perform simple descriptive statistics, hypothesis testing, and data visualization. Modeling and exploratory data analysis (EDA) to identify patterns, trends, and insights within datasets
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strong background in statistics and substantial experience conducting quantitative research. Experience with research related to the project will be advantageous but is not essential. A background in
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computational modeling. · Strong analytical skills, with experience in HPLC, GC-MS, LC-MS, FTIR, and NMR. · Excellent writing ability, with some experience in statistical analysis, process modeling, manuscript
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compiling and maintaining accurate and detailed records. Summarizing statistical information for analysis, examination or presentation. Identifying problems and obstacles to progress; developing strategies
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to work collaboratively with a team and community partners • Ability to work independently on highly technical projects • Strong computer, statistical, and technical skills Preferred Qualifications
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capabilities. Experimental design, laboratory execution, data analysis, and statistical quality control. Required Education PhD Degree in Biochemistry, Molecular Biology, Molecular Genetics, or closely related
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) develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical models to analyze EHR data
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, whose primary activity will be academic research in association with a faculty member or team. The appointee will contribute to research projects focused on conducting statistical analysis of Omics data