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Field
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related discipline. Preferred Qualifications: Research experience in environmental microbiology, particularly in extreme environments. Proficiency in programming languages such as R or Python. Strong verbal
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environmental microbiology, particularly in extreme environments. Proficiency in programming languages such as R or Python. Strong verbal and written communication skills. Demonstrated ability to work effectively
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collection challenges (e.g., technology, logistics, respondent recruitment). Data Management & Analysis Clean and manage large-scale quantitative survey datasets using R (preferred) and Stata or other packages
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. LICENSES, TOOLS, AND EQUIPMENT: Personal computers and printers; word processing, database management, spreadsheet software, other scientific analysis software (R, python, MatLab), laboratory equipment as
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skills in R/Matlab/PerlPython. Knowledge of basic molecular biology, genomics, and epigenetics. Experience in next-generation sequencing data and scRNA-seq data. Baylor College of Medicine is an Equal
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include research experience in maternal, perinatal, or paediatric fields, proficiency in other statistical software like R, and holding or nearing completion of a DPhil/PhD. Applications for flexible
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/or R) and understanding of Markov model principles. You will be based in the Gibson Building, Nuffield Department of Primary Care Health Sciences, Woodstock Road, Oxford, OX2 6GG as your normal place
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, using R or Python; experience with these datasets is helpful but not required Preparing statistical reports and presentations Presenting findings at regional or national scientific meetings Mentoring
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of peer-reviewed publications and conference presentations in traumatic stress. Advanced data anaylsis skills, including use of statistical software (e.g. SPSS, R, SAS). Prior involvement in successful
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using UCINET software or coding in R. Writing and Presentation Development Synthesizing data from multiple sources to communicate findings via written, visual (i.e. sociograms), and multimedia displays