Sort by
Refine Your Search
-
machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
-
wet-lab techniques to investigate the role of the human microbiome in human health and diseases and to develop microbiome-based therapeutics. The candidate will have the opportunity to learn and lead
-
, agriculture-based net emissions technologies, such as uptake and storage by agricultural soils and bioenergy production, are recognized as important components of future emission pathways to limit global
-
accurate prediction of caries lesion progression to support precision prevention and treatment planning. The postdoc will lead efforts to design multimodal learning architectures (e.g., attention-based
-
machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
-
modern machine learning techniques, particularly in engineering applications. ◦ A commendable track record of research-based publications in the aforementioned fields, indicating a rich and productive
-
immune escape mechanisms in lung cancer. This position is supported by a newly funded NIH grant. The research will involve high-throughput functional genomics using CRISPR-based screening, lineage tracing
-
development. Supported by an extensive repository of professional development videos, research-based content, and relevant, interactive learning materials, the VLS simulates the enriching learning experiences
-
learning outcomes and instructional practices. The position supports a collaborative research initiative led by faculty and staff from the College of Arts and Sciences and the College of Education and Human
-
spectrometry-based metabolomics, isotope tracing, and lipidomics, to dissect metabolic rewiring in lung cancer. The research will integrate patient-derived models, organoids, and in vivo tumor models. Lab Focus