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, and utilization including oils, proteins, lignocellulose biomass, and extractables. Developing scientific communication skills through contributions to presentations and manuscripts suitable
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this position will perform technical work that underpins the scientific research of the collaboration. A postdoctoral fellow is sought for a position in Structural Engineering to contribute to cutting-edge work
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | 2 days ago
data generated from medical device materials under different extraction conditions in conjunction with physics- based modeling to develop the web-based tool. Learning Objectives: As a postdoctoral fellow
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UiO/Anders Lien 16th August 2026 Languages English English English Postdoctoral Research Fellowship in archaeological geochemistry and dating Apply for this job See advertisement About the position
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and Machine Learning/Deep Learning Applications for Low Amplitude Transient Signal extraction: this project explores the use of AI, ML/DL techniques to explores several sources of signals with
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Posting Details Position Details Title Postdoctoral Fellow in Quantum Physics Appointment Status Non-Tenure Track Department IU Bloomington Physics Location Bloomington Position Summary A
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 2 months ago
cross-cutting insights and best practices to inform regulatory science Extract and synthesize key learnings from the portfolio, including successful approaches, methodological innovations, and recurring
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logging into their existing Workday employee account. Position Summary: Florida Atlantic University seeks a highly computational Postdoctoral Fellow to architect the geospatial foundation of campus- and
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their vectored pathogens. Key activities include monitoring of experimental honeybee colonies, sampling Varroa mites from live honeybee colonies, conducting bioassays to identify plant extracts/compounds
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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically