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Chekouo and his collaborators within and outside the University of Minnesota. The research will focus on the development of Bayesian statistical/machine learning methods for the data integration analysis
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molecular compounds as potential drugs for the treatment of infectious diseases. Additional work duties include design of new molecules, data analysis, analytical characterization, purification, maintaining
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websites and reports (using web scraping tools), qualitative content analysis, as well as data collection through surveys and focus groups. The successful candidate will be expected to take the lead and
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spectroscopy measurement at state-of-the-art large-scale facilities. You will perform quantitative data analysis using programming languages such as Python. You will perform preliminary calculations to interpret
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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geometry of the space of deformations of Anosov representations, with a strong emphasis on positive ones and their relation with Geometric Analysis. Our goal is to use various techniques from geometric PDE
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skills include patch-clamp recordings, experience with neuromodulation or pain research, and proficiency with imaging or data-analysis software. Strong communication skills, the ability to work
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management. Experience with statistical analysis of data and geospatial analysis tools (e.g. ArcGIS). To apply : Submit a cover letter, curriculum vitae, and the names and email addresses of three references
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Independently conducts research including, but not limited to, constructing hypotheses, design and planning of research studies, data management, model development, conducting experiments or assessments, analysis
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to AESEC, the experimental implementation of measurements in extreme environments, the execution of experimental campaigns, the analysis and interpretation of the resulting data, and the dissemination