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data analysis skills, including experience with R, Python, MATLAB • Excellent written and verbal communication skills • Strong organizational and interpersonal skills and ability to work collaboratively
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biobanks in the country, enabling studies across diverse cardiovascular genotypes. A key component of this role includes applying advanced nanoparticle technology to track single GPCR molecules in
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: Experience in a wide range of wet-lab and computational methods including but not limited to next-generation sequencing and data analysis, spatial transcriptomic sequencing and analysis, single-cell studies
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fellow in this lab will develop proficiency with advanced techniques in the structural and functional analysis of membrane protein complexes involved in neuronal signaling and signal transduction. For more
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focus on flood risk management and decision analysis for wicked social planning problems. Potential project focuses include flood-risk infrastructure planning, disaster recovery processes and outcomes
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interactions. Development and use of numerical simulation tools to study plasma–dark matter interactions. Analysis of astrophysical data to search for observational signatures of this physics. The group also
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. Experience working with a high-performance computing (HPC) environment. Familiarity with machine learning and advanced statistics. Experience with analysis of time series data from intracranial EEG (iEEG
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, including calibrating hardware and software infrastructure for research, sensor data collection and analysis; validating and disseminating research protocols and tools; creating technology prototypes and
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related to multiple projects, including collaboration and coordination with school sites and key personnel; coordinating with school partners; data analysis and interpretation; and dissemination of findings
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analysis are preferred. Successful candidates must demonstrate expertise in MR Physics, computer programming, critical scientific thinking, and creativity. Applicants will be expected to help develop novel