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USDA-ARS Molecular Biology Postdoctoral Fellowship in the Natural Products Utilization Research Unit
involving physiological, biochemical, and molecular experiments and the use of numerous techniques such as RNA-seq, data mining of DNA and protein sequence databases, analysis of gene function via CRISPR/Cas
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complete application consists of: An application Transcripts – Click here for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant
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individuals should include a cover letter, CV and the names and contact information for 2-3 professional references. A wet-lab postdoctoral position is available immediately in the Zhang Lab | University
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Optimization & Management of Power Allocation, Surface & Subsurface strategies), our Industrial Affiliates research consortium on large-load industrial growth in Texas — data centers, oil and gas operations
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 8 hours ago
. The database will be created through data-mining of medical device submissions, and toxicological and chemical databases using Python coding and artificial intelligence-based approaches. Toxicological Evaluation
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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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graph construction and mining, CDE development for data harmonization. Regulatory science and explainable AI, verification, validation, uncertainty quantification, and AI evaluation framework High
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uncertainty. Utilize machine-learning and data-mining approaches to recommend bioengineering interventions. Develop new machine-learning algorithms. Integrate machine learning techniques with mechanistic
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by Jul 27, 2026: The University of Notre Dame invites applications for a Postdoctoral Research Fellow with deep expertise in quantitative data analysis, data science, and artificial intelligence (AI
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discovery by performing gene mining, constructing and screening transporter libraries, engineering microbial hosts, and analyzing pooled sequencing data to identify transporter function. Interpret and present