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of the following backgrounds are particularly encouraged to apply: Machine learning and deep learning, particularly for time-series modeling Structural health monitoring (SHM), including fiber-optic sensor
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research on self-determination, transition and community engagement. To support development of an independent line of research, this position is designed to provide opportunities and mentorship to advance
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will focus on integrating socio-economic aspects into infrastructure network modeling and work under the supervision of Dr. Elaina Sutley. These postdoctoral researchers will play an important role in
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evolutionary genetics. The postdoctoral researcher will help to lead a collaborative project exploring the genomic basis of fitness variation in the model species Drosophila melanogaster. We will use a
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range of genetic, genomic and molecular technologies to dissect the genetic basis of complex phenotypic variation using Drosophila as a model system. Ongoing projects include: exploring novel powerful
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the detailed characterization (via observations and/or modeling) of exoplanetary atmospheres. Of particular interest are those candidates motivated to work on new JWST, HST, and ground-based exoplanet
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and conduct experiments using human cell culture models, genome editing, and mass spectrometry proteomics. The Barnaba Lab is housed in the Multidisciplinary Research Building, near the state-of-the-art
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, detector construction, detector operation, data-taking support, detector calibration and alignment, detector modeling, detector simulation, physics event simulation, event reconstruction, data analysis
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genomic basis of fitness variation in the model species Drosophila melanogaster. We will use a combination of field and laboratory experiments to identify the processes generating fitness variation among
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, detector construction, detector operation, data-taking support, detector calibration and alignment, detector modeling, detector simulation, physics event simulation, event reconstruction, data analysis