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Field
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a motivated individual to support research and development tasks relating to algorithm development and data analytics requiring a background in the geosciences and data sciences. This includes tasks
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machine learning algorithms, conducting computationally intensive statistical analyses, summarizing research findings, and editing research papers. In addition to working closely with faculty, senior
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financing as CEO or CTO, in the technology sector, such as sensors, electronics, photonics, sustainability and cleantech, AI/ML, quantum computing, or semiconductors; or equivalent life science industry
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to involve the development of electronic circuitry and instrumentation related to the optical sensor at its core, along with the application of the developed instrumentation within various fields. However, the
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near to completing a PhD in neuroscience, biology, or a related discipline. • Experience with hardware development, sensor integration, or custom device fabrication. • Experience with
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and intermediate level, with a focus on programming control, perception, planning, and algorithmic functions for robots. Topics will include data representation, memory concepts, debugging, recursion
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processing, and sensor fabrication and testing. Students typically work 5-10 hours per week during the semester and 40 hours per week over the summer. EMDD works with students to determine a schedule based on
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| Computer Science and Engineering The National Science Foundation (NSF) Harnessing the Data Revolution (HDR) Imageomics Institute is seeking to hire a Research Technician 1 to provide algorithm development
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, collaborating with biologists, oncologists, statisticians, and other computational/ML scientists to translate computational findings into therapeutic strategies.-Design, debug, and optimize algorithms and
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mix of algorithm engineering and formal methods, alongside more traditional software engineering activities. This project involves developing software which is both mathematically rigorous, and