21 phd-statistics "University of California, Santa Cruz" research jobs at Case Western Reserve University in United States
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performed. Good analytical, statistical, and presentation skills. Proficient computer skills, particularly using Adobe Illustrator, Photoshop, and graphing software such as Origin or Prism. Skills in single
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activation of nerve and muscle, as well as the recording and processing of bioelectric signals. Experience with Tucker-Davis Technologies (TDT) recording system, MATLAB, LabVIEW, Spike 2, and any statistical
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general skills common to a microbiology lab are a must. Strong documentation and organization skills with the ability to keep accurate records of all work performed. Good analytical, statistical and
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or different acute treatments will be analyzed for significance using appropriate statistical methods. These may include paired or unpaired T-test and analysis of variance. The choice of method testing
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in engineering, kinesiology, or biomechanics, with an interest in neurotherapy and vocational rehabilitation. Ideal candidates will have strong computational, statistical and mechatronics skills. A
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for candidates interested in a career in academia or industry. The positions are available immediately; however, the start date is flexible. Qualifications PhD in physiology, bioengineering, biochemistry
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well as analyze large single cell transcriptomic using R coding environment and associated packages. Data will be collected and recorded in laboratory computers for statistical analyses and the research assistant
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. Proficiency in statistical data analysis. Practical experience in extraction, separation, and identification of active compound from natural resources, high performance liquid chromatography (HPLC), practical
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analyses of the samples necessary to characterize responses. Apply appropriate statistical measure. Maintain this data in machine readable form and regularly back it up. (25%) Record results for experiments
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the translation and implementation of innovations in community prevention and clinical care. Postdoctoral scholar will focus on developing and applying methods for modeling and statistically testing nonlinear