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Field
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background in human or monkey electrophysiology. Studies will include simultaneous recordings and stimulation from multiple, interconnected brain regions. The researcher will gain experience with the use
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skills in English. Proficiency in data analytics, visualization, and statistical analysis. Proficiency in at least one of the following programming languages: R or Python. Proficiency in Microsoft Office
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Cognitive Neurology Lab Dr. Wessel’s lab is joint between the Departments of Psychological and Brain Sciences and the Department of Neurology at the University of Iowa. It is equipped with multiple EEG and
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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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disorders. The successful candidate will apply cutting-edge techniques in spatial and single-cell transcriptomics to study the effects of gene knockouts across multiple scales, contributing to a comprehensive
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background in coding. • Ability to work effectively with a diverse team from multiple disciplines. • Strong communication skills. • Enthusiasm for leading experiments with human subjects. Preferred
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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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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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the following objectives: 1. Characterize 3-D Urban Structure and Change: Utilize data from multiple remote-sensing platforms and deep learning algorithms to generate high-resolution maps of 3-D urban structure
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Mendelian genomics and multiple NIH-funded Precision Medicine initiatives. This position offers an exciting opportunity to contribute to groundbreaking research in genomic medicine, working at the forefront