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Field
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at conferences and meetings, and may develop new theories and methodologies. Extensive experience using R, Python or similar tools are a key requirement for the position, and successful candidates should show
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related field. Preferred Qualifications Experience with spatiotemporal analysis using R, Python, and/or comparable computer programming languages. Experience in high performance computing. Experiencing
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of psychiatric epidemiology and dimensional approaches to mental health measurement - Expertise in longitudinal data analysis and advanced statistical methods - Proficiency in statistical programming (R, SAS
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nCounter(r). The postdoc would also collaborate with investigators performing microfluidics to characterize streptococci-platelet adhesion and the impact of streptococci on various platelet functions, and
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to software tools to deploy developed approaches (10%) • Contribute to other publications, grant proposals, and internal R&D efforts (10%) • Contribute to professional service activities (10%) Minimum
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. The successful candidate will integrate multi-omic and immunological approaches, such as single-cell transcriptomics, proteomics, and tumor microenvironment profiling, and apply bioinformatic tools (e.g., R
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programming, probability theory, and statistical analysis of large datasets using R or Python. A successful candidate should have a Ph.D. in Operations Research, Electrical Engineering, or Industrial
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. Experience with R or Python. Experience with ML and AI. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. Requisition ID: 23093 Apply now
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(e.g., R, Python, C/C++) Excellent communication and writing skills Interested candidates are invited to complete the online application and email your CV and cover letter to Dr. Sapkota ( yadav.sapkota
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visualization tools to present results (e.g., using Shiny in R, or Tableau). Development of Research Deliverables and Publications (25%) – Prepare high-quality research deliverables, including project briefs