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Rare Diseases. This faculty opening will be valid for an extensive period of time. For more information about SMART&PI, please visit our official website：https://smart.org.cn/. Qualifications A PhD
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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biostatistical/data science support. Required: Candidates should have a track record of productivity, for example, leading author papers or critical contributions to large projects; applicants from a quantitative
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of a project with limited experimental data points? In addition, how would you combine various computational chemistry methods that can leverage data to enhance potency predictions? With your solution
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-of-the-art computational infrastructure and proteomic data to address fundamental biological questions. Key Responsibilities: Develop and apply computational workflows to analyze large-scale proteomic datasets
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2-yr postdoc on Forecasting Biosphere-Scale Effects of Ecological Novelty Using Species Distribut...
regimes, and geodiversity. Key topics include understanding the large-scale consequences of NE expansion and exploring whether restoration and rewilding efforts can mitigate biodiversity loss and enhance
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local ice bodies. The postdoc will undertake site-specific glaciologic analysis from GNSS-data and other observations and moreover, develop large-scale, multi-site time series of ice flow and changes in
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of molecular, histopathological and clinical data in the world. We are seeking a highly motivated Postdoctoral Researcher with expertise in large-scale omics data analysis to establish an innovative multi-omics
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growth. In a large research project funded by a Carlsberg Foundation’s Semper Ardens Advance grant, we will investigate if we can realize a new heavy-rare-earth-free permanent magnet through a
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working with ocean or earth system models, or similar models A background in analyzing large data sets and visualizing data using Python, MATLAB, or equivalent very good writing, presentation, and