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. Description: We are seeking a postdoctoral researcher specializing in silicon detector characterization and optimization for high-performance space imaging applications. The successful candidate will focus
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segments that can help us understand how to optimally phase the telescope in the presence of real segment deformation. Areas of study include: incorporating segment fabrication, warping, and support errors
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inference) Algorithmic development for bilevel (or multilevel) optimization Methodological developments in Bayesian statistics and/or decision analysis Application of adversarial risk analysis within security
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, molecular biologists, bioinformaticians, epidemiologists, and other public health professionals. Research and training activities may include: Participating in the development, optimization, evaluation, and
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critical decision-support tools for crew members to optimize crop productivity in space. Field of Science: Interdisciplinary/Other Advisors: Aubrie Orourke [email protected] (321) 749-7654 Questions
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; preparing biological samples for testing; coordinating and optimizing insect behavioral assays Data Management: maintaining meticulous experimental data records, digital database entry, and basic statistical
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industrial desert crop to farmers in the south western US as an alternative to high water requiring crops such as as cotton and alfalfa. Current methods will be optimized and new methods may be invented and
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supporting materials must be uploaded as PDF files so the document can be searched by Zintellect's search engine. Scanned items are not optimal for search engines. PDF must not require special certificates
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files so the document can be searched by Zintellect's search engine. Scanned items are not optimal for search engines. PDF must not require special certificates or passwords to open. Max file size is 10MB
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-resistance phenotypes. You will gain experience applying AI, genomics, and bioinformatics, from foundational AI/ML concepts to hands-on application and optimization of DNA and protein language models