13 python-"Multiple"-"U"-"Washington-University-in-St"-"SciLifeLab" positions at University of Pennsylvania
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-resolution imaging, hyperspectral imaging, and single-molecule tracking. The ideal candidate has experience designing and implementing optics hardware (ideally microscopes), is fluent in Python and/or LabView
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experience designing and implementing optics hardware (ideally microscopes), is fluent in Python and/or LabView, and is familiar with digital and analog signal processing. Additionally, they are curious, hard
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Python and familiarity with areas in AI/ML, such as Natural Language Processing, HPC, HCI, API, AI Model development, AI frameworks like TensorFlow, PyTorch, Kraken, etc. and AI/ML methods and
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to communicate complex ideas in an understandable way to a broad variety of stakeholders. Demonstrated programming skills in Python and familiarity with areas in AI/ML, such as Natural Language Processing, HPC
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integration of data from multiple platforms. Position Contingent Upon Funding Qualifications Bachelor of Science and 2 to 3 years of experience or equivalent combination of education and experience is required
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and/or Python. Familiarity with data warehouse infrastructure and querying is strongly preferred. The role also contributes to broader academic affairs and data science initiatives, including AI
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or computer science, and will be able to work independently and manage multiple projects simultaneously. This is a challenging opportunity for an early-career professional who is passionate about social science
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/ Python / Julia is preferred; Ability to analyze data and write reports; Self-directed, intrinsically motivated; capacity to manage work independently and organize workflows across multiple projects SALARY
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integrity of data, and cleaning and processing data for analysis. Intermediate to advanced statistical programming skills in either R and/or Python are required. If the candidate is proficient in only one
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to process multiple tasks and analyses in complex environments. The Research Specialist A will develop custom processing and analytic pipelines involving high-dimensional biometric data and naturalistic