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Field
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Postdoctoral Research Associate who will focus on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data
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. Our program focuses on understanding hostpathogen interactions across species (mice, chickens, pigs, dogs) using well-established viral (e.g., Marek's disease virus, Theiler virus, Hepatitis E
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gene-drug interactions. In order to decipher the genetic and gene-drug interactions, we use model systems like Drosophila, human cell cultures and patient-derived organoids in high-throughput screens
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presentations in large public forums Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity
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consist of multiple interacting components whose therapeutic behaviour changes after administration due to biological interactions (protein corona formation, degradation, payload release). Current AI
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of nursing staff. The sub-project ‘Multimodal Behaviour Analysis and Interaction’ deals with the development and implementation of methods for automatic knowledge extraction, multimodal behaviour analysis and
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length scales Develop machine learning algorithms to support process optimization, predictive modeling, and intelligent manufacturing control Integrate simulation tools with in-situ sensor data from
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research in artificial intelligence (AI) and will provide a three-year fellowship to nurture competent scientific leaders in AI. It is open to applicants of any age, nationality, or background. Applicants
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that you will apply include endogenous protein tagging by CRISPR and integrases, in-cell interaction proteomics by proximity labeling, subcellular localization by spatial proteomics and fluorescence
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Maintain strong commitment to the implementation and perpetuation of values and ethics Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity