35 phd-statistics "University of California, Santa Cruz" research jobs at University of Houston
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have a strong background in computational biology, expertise in statistical analysis and programming languages such as R, Perl, and Python, and a proven track record of leading bioinformatics projects
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Posting Information: PhD in Mathematics or Statistics is preferred. Excellent oral and written communication skills in English are required along with a strong publication record. The application must
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candidates are required to have a doctoral degree in either Transportation Engineering, Electrical or Computer Engineering, Computer Science, Statistics, Urban Planning, or a field closely related to
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at the University of Houston. The position is funded by a new NIH R01 grant with the objective of developing low-resource statistical models that can reliably mimic the performance of expert readers in imaging trials
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, mathematics, statistics, computer science, physics, etc. Prepares and edits research papers, proposal, and reports. Performs advanced testing procedures and analyses of data. May prepare samples for testing
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other personnel in the research group such as PhD, master's and undergraduate students. EEO/AA Qualifications Doctoral and No experience Requires singular knowledge of a specialized advanced professional
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, biology, mathematics, statistics, computer science, physics, etc. Prepares and edits research papers, proposal, and reports. Performs advanced testing procedures and analyses of data. May prepare samples
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publish in the top IEEE robotics conferences and journals. Oversee junior PhD, Masters, and Undergraduate researchers, training them in research practices. Design motion controllers and electronics
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for Windows, including Word, Excel, PowerPoint, Outlook and SPSS. Desired skills are advanced statistical training and able to do longitudinal data analyses. Ability to work well with others and work with
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to develop new methods and systems. 2) Experience in cell culture, animal models, microscopy system development and analysis for cancer research. Candidates with recent PhD or those anticipating PhD (all