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strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten other researchers (MSc and PhD
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for implementation, data collection, and teacher co-design activities. Please Note: This position is grant funded; future employment may be contingent upon future funding. Qualifications Required Education PhD in
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multidisciplinary team of expert faculty in neurology, epidemiology, data science, and biostatistics. About the Role Our lab specializes in Alzheimer's Disease (AD) and other dementias, with additional focus areas in
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://news.vt.edu/articles/2023/10/eng-futuregaward.html Required Qualifications ● Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field. ● PhD must be awarded
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
Posting Information Posting Details Department Pathology Lab Med - Research - 413804 Posting Open Date Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title
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to design and execute experiments, analyze data, write, and prepare independent grant applications and manuscripts for scientific publications, and supervise graduate students. Job Description: Key Roles and
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perception at the landscape scale under different scenarios and employ behavioural experiments and Big Data analytics to understand how changes in time perception influence pro-environmental and sustainable
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will play a key role in ensuring that these complex data streams are acquired, synchronized, quality-controlled, modeled and interpreted with the highest level of technical and analytical rigor. Main
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assessments What You’ll Need to Thrive You will be successful in this role if you bring: A PhD in Electrical Engineering, Mechanical Engineering, Data Science or a related discipline Proven experience with
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: Statistical programming and data analysis using R, Python, or Matlab, Spatial data analysis or GIS Whole-genome sequencing, phylogenetics, or phylodynamics Data management and reproducible analytical workflows