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modelling; Knowledge of spectroscopy is beneficial, but not required; Experience in at least one programming language for scientific computing (C/C++, Matlab, Fortran, Python, Julia, ...); Good communication
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GPR and EMI imaging methods at multiple scales to enhance our understanding of the soil–root system Designing and implementing novel inversion algorithms for GPR and EMI data Identifying links between
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-motivation. Applicant should have strong organizational skills as they will be expected to manage multiple projects simultaneously. Functional knowledge of programming in languages such as Matlab and Python is
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the scientific method across multiple disciplines to advance Data and Geospatial Sciences and develop data analytics through systematic experimentation Conduct experiment-driven applied research and development
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capacity to plan, coordinate, and deliver research projects, possibly involving multiple partners Teaching and Supervision Proven ability to contribute to curriculum design, teaching, and supervision
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of Clinical Research Professionals certification is preferred Knowledge of human anatomy and the ability to work with clinical populations Ability to work independently and manage multiple projects with
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strong organizational skills as they will be expected to manage multiple projects simultaneously. Functional knowledge of programming in languages such as Matlab and Python is essential to completion
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primarily involves leading independent neuroimaging analyses and developing innovative analytical approaches to address the scientific aims of the lab. Multiple datasets are already available in the lab
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multiple sub-arrays. In particular, developing methods for compensation of non-ideal system components and synchronization. Developed methods can be experimentally verified and tested on the Large
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research networks Demonstrated capacity to plan, coordinate, and deliver research projects, possibly involving multiple partners Teaching and Supervision Proven ability to contribute to curriculum design