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in the present and in the evolutionary past. It can uniquely contribute to understanding how we got here and what we need to do. In the first unit of this course, students will gain a deep
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The Department of Ecology and Evolutionary Biology is seeking applications for a 100% LEO Lecturer I position teaching BIOLOGY 171, Introductory Biology: Ecology and Evolution. The responsibilities will
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Qualifications* The ideal candidate will hold a Bachelors degree in a relevant biological or computational discipline (e.g., genomics, evolutionary biology, molecular ecology, or bioinformatics) Candidates must
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or hands-on lab environments. Having taken Data structures, algorithms, Theory of computation courses with a good grade Modes of Work Hybrid The work requirements allow both onsite and offsite work and an
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of traffic control algorithms with vehicle trajectory data are preferred. Additional Information This is a three-year term-limited position with possible renewal based on funding extension. Background
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and Machine Learning tools and algorithms to solve hydrology and water resources problems. Familiarity with high-performance computing (HPC), cloud platforms, or GPU clusters. Demonstrated ability
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discipline. At least 3 first author papers in disciplines related to neuroprosthetics. Published first author work in using machine learning algorithms for real time neural signal processing. Proficient in a
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to synthesize sequencing-based analysis results e.g.,Rshiny, d3, plotly, ggplot2. A solid understanding of statistics and experience in the implementation of machine learning and statistical inference algorithms
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results e.g.,Rshiny, d3, plotly, ggplot2. A solid understanding of statistics and experience in the implementation of machine learning and statistical inference algorithms. Experience building web
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. Responsibilities* Design, implement, and evaluate LiDAR-based experiments in lab and real-world settings. Develop and test algorithms for object detection, tracking, and classification using LiDAR sensors. Help