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Field
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Bioinformatic data analysis and visualization Identification and mechanistic characterization of PMD candidate substrates Presentation of data at international conferences and manuscript preparation Leading
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(including time series analysis); data visualization; exploration of multimodal sense-making; and co-writing articles. About the position The position is available for a period of 3 years. There is a 10
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, statewide workforce initiatives, and IECMH -focused evaluation partnerships. This position offers advanced training in applied research, project management, data analysis, and grant development, with
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, statewide workforce initiatives, and IECMH -focused evaluation partnerships. This position offers advanced training in applied research, project management, data analysis, and grant development, with
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projects, including publication of peer-reviewed literature. Proficiency in Python for analysis and visualization of Earth system data Proficient verbal and written communication skills to collaborate
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 10 hours ago
for opioid overdose reversal agents. Learn how to leverage statistical data analysis and data visualization techniques to interpret clinical study findings. Note: you will not be involved with any
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: data science with a focus on database development, data visualization, machine learning with a focus on LLM fine tuning, and/or agentic AI systems (agent orchestration/scaffolding, benchmarking
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record necessary for the next stage of an academic or biomedical research career. Key Responsibilities: 20% – Experimental Research, Project Development, and Data Analysis · Design, plan
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University of British Columbia - Department of Medicine | Northern British Columbia (Fort Nelson), British Columbia | Canada | about 1 month ago
Data Analysi s Experience analysing high-dimensional biological datasets. Proficiency in R for statistical analysis, visualization, and reproducible data analysis. Experience with packages such as
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-dimensional biological datasets. Proficiency in R for statistical analysis, visualization, and reproducible data analysis. Experience with packages such as Seurat, Bioconductor, tidyverse