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Field
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to validate the effects of candidate variants, such as CRISPR-based gene editing or RNA-seq to assess gene expression changes, and linking these findings to clinical phenotypes. • Examining Differences in
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production, purification and biophysical analysis. Experience in structural biology (Xray and/or EM) and python scripting would be considered an advantage. A relevant publication record demonstrating your
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
techniques and approaches to difference image analysis, survey-scale photometric calibration and detrending, periodicity searches, and/or other areas. A negotiable fraction of this role is reserved
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
techniques and approaches to difference image analysis, survey-scale photometric calibration and detrending, periodicity searches, and/or other areas. A negotiable fraction of this role is reserved
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); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and analytical reasoning applied to observational data; A track record
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% of the territory, and hosting critical natural resources and ecosystems. However, rural areas in the EU are remarkably diverse due to biogeographical and geopolitical situations, facing different sustainability
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field Experience working with cryogenic thermal-vacuum systems Experience developing electrical systems and data acquisition with Python or LabView Preferred Qualifications: Expertise in planetary
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. Preferred Qualifications: Experience in machine learning, Python programming; first-principles studies of thermodynamics and defects in solids; experience in NEB calculations. Special Instructions
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-cultural study, the project will establish how beliefs and practices of different religious traditions affect cognitive computations during normative decisions. The goal of the CREDO project is to produce
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computer vision. Experience with multi-modal data fusion and alignment techniques. Experience with spatial transcriptomics or other -omics data analysis. Proficiency in Python programming and scientific