112 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" research jobs at Zintellect in United States
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have earned or be currently pursuing an undergraduate degree from an accredited institution in data sciences, mathematics, statistics, biostatistics, public health, or a related field. Degree must have
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have received a master's or doctoral degree from an accredited institution in data sciences, mathematics, statistics, biostatistics, public health, or a related field or will have a degree earned by
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phenotyping using both drone-based and ground based sensing platforms. Learn artificial intelligence and machine learning techniques to analyze image and geospatial data from diverse sources for crop monitoring
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research applying artificial intelligence (AI) and machine learning (ML) techniques to analyze cervid movement patterns. GPS telemetry data obtained from free ranging cervids will be used by the participant
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necessary to become credentialed as a Principal Investigator Applying a broad range of statistical and machine learning methods to human performance data collected in real-world settings Developing
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to: Learning about aircraft systems engineering and systems analysis to support integrated design and performance assessment. Participating in aircraft design trade studies with a focus on propulsion–airframe
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and weaknesses for end-users. Help develop new or improve existing soil moisture estimates using NISAR and other datasets utilizing artificial intelligence (AI) and machine learning. The outcome from
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and Amputation Center of Excellence (EACE) is offering a postgraduate fellowship at the Uniformed Services University of the Health Sciences (USUHS) and Walter Reed National Military Medical Center
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Research Unit San Antonio (NAMRU-SA) is offering post-baccalaureate internships. What will I be doing? As an Oak Ridge Institute for Science and Education (ORISE) participant, you will join and learn from a
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the one of the relevant fields. Preferred skills: Experience in forest operations analysis, forest resource management, spatial data science, supply chain/logistics analytics, machine learning Analytical