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-on expertise in building and characterizing 3D multicellular tissue models — including hiPSC-derived and primary-cell co-culture/organoid systems — to lead studies defining how spatial and multicellular context
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in the Southern Appalachian and Mid-Atlantic region. The position focuses on developing and applying an integrated, spatially explicit modeling framework that links forest resource utilization, life
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, statistics, data architecture, business intelligence, or a related field. Demonstrated ability to analyze data, visualize data, create reports, provide consultations, and facilitate assessments. Demonstrated
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. The candidate will apply a suite of statistical and physical models for integrating observations of different accuracies, improving predictions of future hazards. The work will further include research, writing
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, plant pathology, or a related field. Experience working directly with agricultural producers, industry stakeholders, or commercial partners. Experience with statistical analysis and graphing software
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Factors experience or Engineering/Statistics with safety analysis and/or transportation safety specialization including but not limited degrees in Civil Engineering, Transportation Engineering, Human
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and security challenges, build sustainable solutions, and provide expert perspective on using AI. Required Qualifications - PhD in computer science, statistics, data analytics, business administration
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analytical stills, including the use of statistical software (R, JMP, SAS, etc.) Preferred Qualifications N/A Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information
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· Ph.D. degree in Computer Science, Electrical and Computer Engineering, Computational Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or related fields. · PhD
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certification - Experience in field sampling and crew supervision - Strong written and verbal communication skills - Strong analytical stills, including the use of statistical software (R, JMP, SAS, etc