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combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038/s41467-025-63947-5 https
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relationship to the environment, and mentoring in the Yale’s non-degree online environmental data science certificate program, https://environment.yale.edu/certificates/data (Link is external
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. common genetic variation 2. Developing methods to analyze GWAS data using graphical models and genome-wide genealogies 3. Developing methods to integrate rare protein coding genetic association data with
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and resilience planning for the Treasure Valley. Unit URL https://iwrri.uidaho.edu/ Position Qualifications Required Experience Experience working with quantitative analysis, modeling, or data-driven
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/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a growing, lively, friendly and collaborative research environment in cold regions sciences, in
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the selected candidate, the research project can focus on statistical analysis of literature data, process-based modelling, or a combination of the two. We offer a stimulating research environment with
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Transportation) Center research, collaborating with consortium universities and local DOT partners on pilot projects, data fusion efforts, and translational research that leads to publications and
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group led by Dr. Marvin Meyers in the Department of Chemistry (https://www.slu.edu/science-and-engineering/academics/chemistry/faculty/marvin-meyers.php). This work involves the organic synthesis of new
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: • Bioinformatics and computational biology • Multi-omics data integration and analysis • Pharmacogenomics and computational drug discovery • Pharmacogenomics and precision medicine • AI and machine
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The Ohio State University | about 2 months ago
skills using modern languages such as Python or C++. Expertise in statistical analysis, machine learning, and data-driven modeling is highly desirable. Appointment is contingent on the university’s