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Field
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of epidemiological methods and study design Strong experience in statistical genetics, omics technologies and their data analysis Proficiency in programming language (e.g., R, Python), statistical software (e.g. SAS
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biology, functional genomics, cell biology, and cardiovascular physiology. Experience or interests in programming languages such as R or Python. Independence to lead a project as well as willingness to work
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minimum of one year eligibility remaining. • Self-motivated and able to work independently and collaboratively • Strong communication skills • Proficiency in R, Python, or MATLAB • Familiarity with
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in software development skills in programming languages such as R and Python. Knowledge, Skills and Abilities Skill in managing one’s own time and the time of others. Ability to analyze, organize and
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++, and Python. Preferred Qualifications Prior research experience in computer systems and distributed computing is preferred. However, strong research experience in developing/applying machine learning
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or Python. Lastly, candidates should have experience performing human subjects experiments. Application Material: Curriculum Vitae with pointers to your research/expertise-related online profiles (e.g
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Science, Statistics, Mathematics, Computer Science, or a closely related field. Demonstrated expertise working with multivariate time-series and spatiotemporal datasets. Advanced proficiency in Python
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. · Publish manuscripts reporting the project’s progress and innovations. Applicants must have a PhD by the position start date. The applicant should be an expert in Python programming and deep learning APIs
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, generally with python. Duties also include: presenting at group meetings, attending conferences, mentoring students, and writing journal articles. Qualifications Basic qualifications Ph.D. in computational
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Charles Henry Turner Post-doctoral Fellow, Department of Geography & GIS, College of Arts & Sciences
techniques and geospatial tools Proficiency in Python/R, big data platforms, and GeoAI/machine learning frameworks Experience in managing large data sets Required Education Doctoral Degree in the appropriate