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Field
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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transcriptomic approaches to study immune memory in human organoid cultures and knockout/transgenic mouse models. The candidate will also contribute to other ongoing projects of the laboratory, assisting other
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from agriculture and green-waste recycling that contributes to the emergence of fungal Antimicrobial Resistance (fAMR) hotspots in the UK. The successful candidate will work closely with Professor Paul
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The University of Texas Southwestern Medical Center (UT Southwestern Medical Center) | Dallas, Texas | United States | 2 months ago
, Mouse models, Single-cell genomics and Bioinformatics. Interested applicants should email the following materials to: [email protected] Please include: Curriculum Vitae A brief cover
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with patient-derived clinical material. The work combines differentiation systems and organoid or assembloid models with interaction and expression proteomics, with the aim of connecting genetic variants
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and pilot an AI-enabled material flow and industrial symbiosis framework that connects energy, water, and resource loops. This innovative research engages the Midwest's strong presence in manufacturing
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Computational Postdoctoral Fellow (Quantitative Modeling Group) - 106785 Division: BE-Biological Systems & Engineering Berkeley Lab’s (LBNL, https://www.lbl.gov/) Biological Systems and Engineering
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 4 hours ago
. Learn and contribute to data-driven dynamic disease-progression modeling for neurodegenerative diseases. Mentor: The mentor for this opportunity is Sreedharan Sabarinath ([email protected]
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consistency, repeatability, and scientific validity across different sites and measurement periods. · Ensure that field measurements are properly synchronised with project requirements, including model
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complex materials systems. Advanced data analysis and scientific model development using Python or other scientific programming languages, including experience with automation, instrumentation control