74 spatial-statistics "https:" Postdoctoral positions at Rutgers University in United States
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computational analyses for large-scale genomic, transcriptomic, and epigenomic datasets (bulk, single-cell, and spatial). Primary responsibilities include developing sequencing pipelines, maintaining project
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, Movebank), remote sensing data, GIS tools and quantitative/spatial approaches including machine learning to understand how wildlife species are reacting to climate change at continental or global
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publications can be found on his lab website: https://www.zhuhlab.com The candidates will focus on one or two of the following projects: Developing predictive toxicity models for assessing new
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, earth science, statistics, mathematics, or a related field is required for this position. Certifications/Licenses Required Knowledge, Skills, and Abilities Preferred Qualifications Demonstrated track
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, toxicology, pharmaceutical science, computer science, or statistics. Candidates must have outstanding programming skills using popular programming languages (e.g., Python). Candidates should also be able to
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, toxicology, pharmaceutical science, computer science, or statistics. Candidates must have outstanding programming skills using popular programming languages (e.g., Python). Candidates should also be able to
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, preferred. Solid background in experimental design, statistics and scientific writing, preferred. Background in neuroscience and/or cell biology, biomedical engineering or computer science, highly
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, preferred. Solid background in experimental design, statistics and scientific writing, preferred. Background in neuroscience and/or cell biology, biomedical engineering or computer science, highly
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, preferred. Solid background in experimental design, statistics and scientific writing, preferred. Background in neuroscience and/or cell biology, biomedical engineering or computer science, highly
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processing, statistics, or computational neuroscience, preferred. Outstanding presentation skills, preferred. Experience in graphing, statistical analysis and data management skills, preferred. Proficient in