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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 9 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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, advanced manufacturing, refining, and mining — and the pressure that growth places on shared energy, water, land, and community systems. Purpose Build and apply quantitative and economic models to assess
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dashboard development, or clinical data tool design. Excellent programing skills (e.g., Python, R), with hands-on experience in Bash scripting, workflow management (Snakemake), LLMs, text mining, or knowledge
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. Demonstrated expertise in sentiment analysis, opinion mining, or computational analysis of media and public discourse. Candidates should be able to connect computational analysis with communication theories and
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mining Experience in one or more of the following is considered an advantage: network analysis, graph methods, knowledge representation or ontologies; mechanistic, causal or dynamic modelling of biological
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. Apply the platform to large-scale transporter discovery by performing gene mining, constructing and screening transporter libraries, engineering microbial hosts, and analyzing pooled sequencing data
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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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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
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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