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, collaborators, core facilities, and institutions from different universities. To succeed in this position, the candidate should possess excellent organizational, record-keeping, and interpersonal skills
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to gain a deeper understanding of how these methods are applied across different domains, as well as the skills needed for interdisciplinary research. If you are proficient in Python and software
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biobanking, tissue repository, or clinical research setting. Experience with LIMS, REDCap, or equivalent systems. Proficiency in SQL, Excel, and data analysis tools (e.g., R, Python, Tableau) is a plus. Skills
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mathematical background with proven advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, Python etc.). You should have a strong vision to participate in developing research
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Science, Physics, Applied Mathematics, Electrical Engineering, Data Science, or a related discipline. Demonstrated practical experience in scientific programming (e.g., Python, MATLAB, C++), algorithm development
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communities, will then be investigated in simulations. The end-product will be detailed knowledge on how different ecological practices affect farmers and rural communities and the identification of strategies
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an interdisciplinary research environment aimed at achieving a comprehensive understanding of geomagnetic field evolution across different timescales, including both stable and extreme periods. This will involve working
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. Skills & Knowledge: Proficiency in either R or Python at an advanced level is essential. Familiarity with qualitative analysis tools such as Dedoose is preferred. Relevant Coursework: Strong foundation in
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elevational range sizes of the same species vary across mountain regions with different levels of climate variability, and (3) whether recent changes in climate variability can explain observed shifts in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales