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a fast-paced research environment. Proficiency with common productivity software (e.g., Microsoft Office/Google Workspace) and research tools as needed. Ability to work independently and
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. Ability to manage multiple projects and deadlines in a fast-paced research environment. Proficiency with common productivity software (e.g., Microsoft Office/Google Workspace) and research tools as needed
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. Maintain reproducible code and documentation. Conduct simulation experiments using driving simulators or other software tools to test and validate algorithms. Perform physical experiments on robotic and
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languages such as R, Python, Matlab. Familiarity with software development best practices (e.g., unit testing, version control). Familiarity with inferential statistics and machine learning. Expertise in
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relevant software like Igor Pro, Origin, or WMOSS. Ability to work with computers and computational approaches. Ability to multi-task and work cooperatively with others. Ability to perform all tasks and job
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for presentation at scientific conferences and meetings. Use applicable software to create database, perform statistical analysis, present data and perform other computer related tasks as directed by supervisor
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collections. Responsibilities: Carry out bioinformatic analysis of mammalian genome sequence data and generating novel genome assemblies Use computer software for genome assembly, sequence alignment, and
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at the graduate level, programming. Analysis group leadership, student mentorship. Data analysis for HEP. ML reconstruction, Geant4, software development, statistics. Position 2: Postdoctoral Research Associate
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operators or Physics-Informed Neural Networks (PINNs) in computational fluid dynamics is an advantage. The postdoctoral research associate will join a growing, multidisciplinary research team and will have
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data Multiunit electrophysiological experiments, particularly using Neuropixels Software Expertise and Data Analysis: pCLAMP, ImageJ, MatLab, Imaris Additional expertise using Igor Pro, Prism, Python