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involving spatial characterization of cells and genes in the tumor microenvironment of breast and bladder cancers. The candidate should be proficient in Python with a familiarity of specific libraries/APIs
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Education: Advanced degree. Experience: Experience conducting applied research or evaluation. Proficiency in statistical software and data analysis tools (e.g., R, Python, SPSS, Stata). Strong writing skills
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paradigms, and analysis tools used in experimental research with neurosurgical patients and healthy participants. This position requires strong programming skills in Python, MATLAB, and C++, as
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highly skilled students and young people skilled in the techniques of data preprocessing, machine learning, and also building and supporting Python services and systems. The position will be remote
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.. Research techniques or methods – operant behavior in rodents, survival surgery in rodents, genotyping animals. Knowledge of regulatory policies and procedures. Some experience with Matlab, Python, or R
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Research Assistant who will analyze large-scale biological data sets and help create open-source R and Python software to support our lab’s methodological research. Working closely with Professor Donnat
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Qualifications Education: ABD status by start date. PhD by start date in a field relevant to the research being conducted. PhD after one year of employment. Technical Skills or Knowledge: Proficiency in Python
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academic clients, and write SQL queries that optimize the organization of data deliverables, perform analyses using R and Python, and generate visualizations using Tableau. Prior to delivery of data
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. Experience: Statistical analysis package such as Stata (preferred), R or Python. Preferred Competencies Work both independently, in a self-directed manner, and as a team member. Strong written and verbal
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of Stata, Python, and/or R. Proficiency in Excel and Latex. Preferred Competencies Work both independently, in a self-directed manner, and as a team member. Strong written and verbal communication skills