85 developer-"https:"-"https:"-"https:"-"Cyprus-University-of-Technology" Fellowship positions at Zintellect
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to cross international boundaries and present a risk to U.S. livestock. The fellow will have the opportunity to contribute to the development of novel insecticides targeting arthropod pests of livestock
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, pharmacovigilance, pharmacoepidemiology methods development). In general you will have opportunities to learn: Understanding of pharmacovigilance workflows; GenAI based algorithm and agent development for causality
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. These efforts cover more than just medicines. Research Project: The aim of this research focuses on integrating FDA’s GenAI tool’s capabilities (through API calls) into the InfoViP platform while developing
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storage physiology, abiotic stress resilience, flavor and nutritional quality; and development of molecular tools, pest management and plant breeding strategies. Research Project: This appointment is
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apply? Through active involvement in these projects, you will further develop your skills in data collection, analysis, and interpretation related to toxicants, resuscitative adjuncts, and biological
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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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apply biotechnological approaches to improve the health and resilience of managed honey bees. The successful candidate will contribute to research projects focused on the development of novel therapeutics
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. Research Project: A Postdoctoral Fellow will participate in a project focused on analyzing forest change and disturbances on U.S. forests. In this project, we will collaboratively develop one or more models
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Project: Aflatoxin, a mycotoxin produced by Aspergillus flavus and closely related fungi, contaminates crops and is a threat to food and feed safety. The overall research goal of the lab is to develop
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(PGR) collections lack systematic and thorough characterization. With the recent development of an alfalfa 3K DArT SNP panel, a standardized high-throughput technology has been optimized to overcome