100 machine-learning-"https:"-"https:"-"UCL"-"UCL" Fellowship positions at Zintellect
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collection will include automated phenotyping measurements, as well as crop development, phenology, photosynthesis, and yield. Learning Objectives: During the appointment, you will; Gaining experience with
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background in computational biology, modeling or Machine Learning and Artificial Intelligence Familiarity with basic techniques and principles in cell and molecular biology and biochemistry Willing to learn
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avian influenza (HPAI) airborne transmission between U.S. poultry facilities. The primary focus of this opportunity will be learning to develop statistical and mathematical models to assess airborne
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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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JW, Surov SS, Liang Y, Parunov LA, Ovanesov MV. Effect of pH on thrombin activity measured by calibrated automated thrombinography. Res Pract Thromb Haemost. 2020 Jun 12;4(5):944-945. Learning
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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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& Amputation Center of Excellence (EACE) is a unique organization within the Department of War (DoW) consisting of teams of researchers embedded at the point of care within multiple Military Treatment Facilities
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associated risks to U.S. farmlands and agricultural resources. Learning Objectives: During this appointment, the participant will develop hands-on experience working within an interdisciplinary research team
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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