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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
discipline before start of position. Required Qualifications, Competencies, and Experience Must have ability to program fluently in at least one common scientific programming language such as Python, R
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proteomics workflows Perform imaging and omics data analysis and data integration and validate key results using functional assays in cell culture and in patient-derived samples Plan and collaborate
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. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160 technical
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published by our group (Nasri M, Ritter M et al., Mol Therapy 2024; Skokowa et al., NEJM 2021) and is currently funded by the BMBF/SPARK-BIH program. The postdoc will also participate in the development
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holder of the HR Excellence in Research Award by the European Commission, is a research-oriented faculty, offering university education (Bachelor’s, Master’s, and Doctoral degree programs) closely linked
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contribute to this important and exciting field of research. Position Requirements The primary role of the chosen candidates is to contribute to the expansion of research programs concerning all-solid-state
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the use of regional- to global-scale EarthBank datasets in numerical geoscience modelling via the platform Application Programming Interface (API) and command line scripting. The new node will build
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
or a related discipline, with an emphasis in numerical computation intermediate to advanced skills in large data analysis and manipulation, including programming in different languages including Matlab
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quantitative skills Proficiency with statistics and data analysis Familiarity with a programming language such as R Willingness to collaborate with other postdoctoral researchers, students, agency and university
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fluorescence microscopy, basic programming (Python or other languages), and/or quantitative analysis of microscopy or simulation data. ? Experience working collaboratively in teams and effectively communicate