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: Focus Data science and/or statistical methods development addressing questions of health, technology, housing, education, innovation and others impacting national and international urban communities
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National University of Singapore, Department of Statistics & Data Science Position ID: 3020 -POSTDOC [#26788] Position Title: Position Type: Non tenure-track faculty Position Location: Singapore
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bioinformatics, statistics, and/or computer science to join the Eberlin Lab for Medical Mass Spectrometry. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets
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with Dr Marion Waite and her team, you will support the recruitment of participants, data collection and cleaning, statistical analysis, and dissemination of findings through reports and presentations
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Institute, MI), Professor Simon Leedham (NDM), Dr Joshua Moore (MI) and Dr Eoghan Mulholland (NDM). You will be responsible for adapting existing mathematical and statistical methods for analysis of high
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with Dr Marion Waite and her team, you will support the recruitment of participants, data collection and cleaning, statistical analysis, and dissemination of findings through reports and presentations
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, statistics, and/or computer science. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets for clinical research, focusing on malignancies including breast and lung
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at the Department of Statistics, Purdue University, under the supervision of Dr. Anindya Bhadra. The postdoctoral fellow will be mentored by Dr. Anindya Bhadra and will have an opportunity to choose from exciting
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 4 days ago
postdoctoral researchers, students, and visitors. The research The postdoctoral researchers will engage in theoretical and computational research in Nonequilibrium Statistical Physics and Active Matter. For more
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the field of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R