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more. The purpose of this project is to develop a foundation AI model capable of extracting biological insights from 4D (x,y,z,time) datasets of subcellular dynamics within physiological contexts and
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adaptive, sustainable, and resilient. The ability to perform comprehensive modeling, system-level sensing, analysis, and optimization will promote resiliency and sustainability in a wide array of civil
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of state voting legislation for the Voting Laws Roundup. This work includes developing computational tools (e.g., using large language models, machine learning for text analysis and classification, etc
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statistical modeling. Strong record of developing peer-reviewed publications as lead author. Proficiency in developing public-facing or outreach materials for scientific products. Application Requirements
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of machine learning models, and exploratory data analysis. The Staller lab resides in the division of Genetics, Genomics, Evolution, and Development (GGED) in the Department of Molecular and Cell Biology. Max
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/Associate Project Scientist will play a key role in designing and implementing statistical and machine learning models using large, multimodal datasets, while also contributing to supervision, collaboration
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range: The compensation model varies depending upon the course delivery format. For a synchronous Live Online course, a reasonable estimate for this position is $1,500 - $4,500 total per course. For an
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: 6512575 Instructor Pool Interior Design UC Berkeley Extension Position overview Position title: Instructor (Non-Senate, Non-Tenure Track) Salary range: The compensation model varies depending upon
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with state of the art AI/ML architectures (vison transformers, diffusion models, etc Experience mentoring undergraduate/graduate students, and/or technicians. Experience with professional speaking