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will work on multiple projects funded by NIH/NHGRI. The objective of the position is to develop novel statistical methods and computer software and analyze large scale biological data from biobanks
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: bioinformatics, computational biology, data science, biostatistics • Working proficiency in appropriate programming languages and software (eg. R, Python) • Excellent oral and written English
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candidate will receive training in analyses of single-cell and bulk-tissue multi-omics data and be expected to participate in multiple projects involving design, implementation and integration of large-scale
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census at multiple locations, cataloguing known natural or man-made aerial objects. We will generate testable, data-driven hypotheses to characterize any novel class discovered during this census, or else
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occurring at multiple scales in subsurface energy storage and recovery systems. An interdisciplinary team, including experts from UTEP, Florida State University, the University of Utah, Sandia National Lab
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research fellow position. The successful candidate for this position will work with Drs. Kathryn Colborn and Elizabeth Juarez-Colunga. The selected candidate will benefit from and contribute to multiple
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and administrative activities, coordinating multiple aspects of work to meet deadlines. 2) Undertake comprehensive and systematic literature reviews to develop projects. 3) Adapt existing and develop
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for the eastern US. Multiple peer-reviewed publications are expected to result from this work, to be developed in tandem with key project personnel and collaborators. Travel funding is available to present research
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other characterization methods, as well as across multiple CNMS groups and divisions at ORNL. Major Duties/Responsibilities: Conduct materials research using combined photonics/scanning probe microscopy
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control) due to multiple interacting disturbances such as wildfires, drought, and insect outbreaks. The researcher will apply and adapt a spatially explicit multi-hazard risk assessment framework developed