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have an interest in substance use, posttraumatic and/or operational stress, suicidality, and artificial intelligence/machine learning (AI/ML). What will I be doing and why should I apply? As the selected
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of pear root systems, both in common rootstock cultivars and in genetically distinct pear genotypes. This project is part of a larger effort to understand the interactions between rootstocks and scions
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USDA-ARS Molecular Biology Postdoctoral Fellowship in the Natural Products Utilization Research Unit
interactions. These directives require a multifaceted approach involving physiological, biochemical, and molecular experiments and the use of numerous techniques such as RNA-seq, data mining of DNA and protein
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Experience or interest in artificial intelligence (AI), machine learning, or AI-assisted workflow automation Experience with software testing, beta testing, user acceptance testing, or information system
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–vector interactions involved in viral infection, replication, pathogenesis, and transmission. Learn to design and execute complex laboratory experiments related to virology and infectious disease research
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the application of machine learning/artificial intelligence (ML/AI) in environmental health. This project aligns with ATSDR's current strategic initiatives and will provide you with opportunities
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biology and ecology will also be investigated. You will interact with team members and stakeholders. Learning Objectives: Under the guidance of a mentor, the participant will: Learn about the development
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build practical skills in software implementation, data analysis, and business intelligence while gaining insight into how these capabilities support public health operations and strategic decision-making
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, you will gain significant knowledge and experience related to the modeling and analysis of weapons systems interactions with targets and the response and damage of targets to weapons effects. Where will
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modeling techniques to identify patterns, trends, and emerging public health concerns. Design and evaluation of interactive data visualizations and dashboards to communicate scientific findings. Best