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-doctoral Associate will develop algorithms and theory for machine learning methods, as well as implement and apply ML methods to problems in domains such as computational biology and neuroscience. This is a
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Procedures (10%): ● Keep meticulously detailed records of all experiments and procedures. Equipment (5%): ● Operate routine research equipment such as balance sensors record results. Qualifications All
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and verification, domain-specific computing, heterogeneous architectures, hardware-algorithm co-design, quantum, and physics-inspired computing. AI: Expertise in algorithms, theory, and applications
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across time and contexts. Job Description: You will develop and apply mathematical models and machine learning algorithms to analyze the structure and evolution of knowledge systems across different
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querying skills (MySQL, PostgreSQL, Oracle, or similar) ● Experience and general proficiency with the R programming language ● Experience processing data from remote sensors ● Familiarity with cloud-based
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electroanalytical chemistry toward the fabrication and characterization of solid contact potentiometric sensors 10% attend and contribute to all group meetings and work collaboratively with the group
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validate signal processing algorithms and stimulation strategies using electrophysiological and behavioral data. Develop GUIs, psychophysical test protocols, and objective outcome measures (e.g., ECAP, ABR
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field protocols for Alaska-specific Dynamic Soil Properties measurements. Install and maintain environmental monitoring equipment including soil moisture sensors, temperature probes, and dataloggers
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) investments, and custom farm and ecosystem service (e.g., reduced nitrogen run-off and carbon sequestration) provision. • Investigate the economic impact of digital technologies (e.g., drones, sensors, robotics
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of research projects in a variety of domains. Under the onslaught of ever-larger amounts of data and to take advantage of improvements in machine algorithms, the Zooniverse team has built and implemented