192 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"ISCTE-IUL" positions at Zintellect
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generated quickly and regularly. Help develop machine learning techniques for feral swine abundance in data sparse environments. Collaborate with APHIS Wildlife Services (WS) to integrate data and model
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to multidisciplinary research aimed at advancing military medicine. What will I be doing? This opportunity offers a hands-on learning experience within a collaborative research environment focused on combat casualty
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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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selection programs. Learning Objectives: By the end of this training/research experience, the fellow will be able to: Explain the structure and functional organization of the bovine genome and describe how
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accurate image labeling and annotation to support supervised machine learning applications. Prepare and gain experience through field experiments, including protocol development, equipment setup, and data
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high school seniors, who are pursuing undergraduate studies in STEM, with an opportunity to explore the world of agricultural science through hands-on learning experiences. Participants will have the
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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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shifts and geochemical fluxes within the vadose and groundwater zones. Learning Objectives: This summer program provides an opportunity to gain hands-on experience with Forest Service monitoring protocols
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of boreholes, and utilizing instrumentation to observe how fire impacts water movement through the vadose zone. Learning Objectives: This summer program provides an opportunity to gain hands-on experience with
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shifts and geochemical fluxes within the vadose and groundwater zones. Learning Objectives: This summer program provides an opportunity to gain hands-on experience with Forest Service monitoring protocols