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analyses); ability to create visualizations of research data (maps, 3D models, graphic presentations); experience in conducting advanced data analyses in archaeology; experience in documenting different
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heterostructures using MBE. Device fabrication using advanced micro- and nano-fabrication techniques. Low-temperature and high-field magneto-electric transport measurements. Data analysis, interpretation, and
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vivo). Proven experience with barcoding strategies and multiplexed sample handling. Knowledge of Design of Experiment (DOE) principles Proficiency in data analysis (data modeling, visualization
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Biology at Texas A&M University is seeking a Postdoctoral Researcher to work on questions involving (1) The evolutionary drivers of avian visual systems, foraging behavior, and sensitivity to Anthropogenic
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of Psychology at the University of Sheffield. The study employs an innovative experience-sampling research method, investigating the relationship between intra- and interindividual variation in visual working
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
Posting Information Posting Details Department Biology - 318200 Posting Open Date 11/03/2025 Application Deadline 11/06/2025 Open Until Filled No Position Type Postdoctoral Scholar Position Title
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writing) is mandatory. 4. Strong ability in data analysis and visualization is required. 5. Knowledge of French or Chinese is an asset. • International Experience: Prior research experience abroad is highly
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languages and data analysis tools such as Python, Matlab, and R. Proficiency in GIS software (e.g., ESRI ArcPro). Strong written, oral, and visual communication skills. Responsibilities Research- Under
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Research & Tool-building (60%) - Geospatial/RS analytics; model design and validation; reproducible workflows. Stakeholder Collaboration (20%) - Co-develop decision tools; synthesize partner data; occasional
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, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high-throughput sequencing data