102 developer-"https:" "https:" "https:" "Lawrence Berkeley National Laboratory Physics" Fellowship research jobs at Zintellect
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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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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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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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. 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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and gene therapy. You will use advanced manufacturing tools and strategies to gain a deeper understanding of challenges associated with T cell-based immunotherapies such as CAR-T cells and develop novel
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size exclusion chromatography) Conduct protein binding experiments (ELISA or SPR) Develop and optimize protocols for sample preparation and imaging by cryo-EM Collect and analyze cryo-EM data using a
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, California, conducts research to enhance food safety and biosecurity by developing new methods for analysis of toxins and bacteria in foods, and safe and effective compounds and management strategies targeting
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and gene therapy. You will use advanced manufacturing tools and strategies to gain a deeper understanding of challenges associated with T cell-based immunotherapies such as CAR-T cells and develop novel
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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
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, the research participant will help develop a process-based crop model designed for watershed scales to address this limitation. This will be achieved by coupling an existing crop simulation model with