12 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at Zintellect
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research in several areas. Learning activities will focus on: The development and characterization of animal models and/or microphysiological systems for viral agents. Emphasis is placed on determining
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. Qualifications The qualified candidate will be currently pursuing or have completed a PhD from an accredited institution in Rehabilitation, Engineering, Computer Science, Robotics, Mechatronics, or a closely
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and technology, environmental resiliency, environmental sensing, ecological modeling and forecasting, risk and decision science, environmentally sustainable material, systems biology, climate change
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to environmental and agricultural research to develop marker-driven prediction models for precision agriculture. Under the gudiance of the mentor, the participant will engage in environmental and agricultural
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materials chemistry and demonstrated experience in materials characterization. This research offers a unique opportunity to contribute to a critical defense technology and collaborate with a multidisciplinary
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USDA-ARS Postdoctoral Research Opportunity: Development of Novel Vaccines for Poultry Viral Diseases
, learning how to apply genetic engineering techniques for the study and manipulation of viral pathogens. Evaluation of Vaccinal Efficacy: The participant will learn how to evaluate the vaccinal efficacy
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USDA-ARS Postdoctoral Research Opportunity: Development of Novel Vaccines for Poultry Viral Diseases
, learning how to apply genetic engineering techniques for the study and manipulation of viral pathogens. Evaluation of Vaccinal Efficacy: The participant will learn how to evaluate the vaccinal efficacy
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promoters. Digital Phenotyping: Application of hyperspectral imaging and advanced imaging tools to detect disease traits beyond the visible spectrum. AI-Driven Data Analysis: Leveraging machine learning
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levels at harvest, we aim to develop predictive models, powered by deep neural networks, that can detect early signs of fungal infection and evaluate mitigation strategies such as soil amendments
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ecological modeling. Learning Objectives: Through this fellowship, the successful applicant will gain valuable hands-on experience and develop expertise in laboratory and cold chain research. The participant