679 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United States
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Field
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AML using CDX, PDX, and genetically engineered mouse models (GEMMs) Perform in vivo imaging, tissue harvesting, flow cytometry and molecular analyses Maintain detailed experimental records and rigorous
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Biology at Harvard University (Andrew G. Myers Research Group). 1. Prepare antibiotic compounds from milligram to gram scale using state-of-the-art organic synthesis and technology. Independently design and
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Argonne National Laboratory invites applications for postdoctoral research positions in experimental physics, with a focus on advancing superconducting particle detector technology for next
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internal state and environmental structure shape their functional operation. To address these questions, we use an observational and causal approach, combining monitoring and decoding of neural activity with
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The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing
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in computational biology, biomedical engineering, bioinformatics, computer science, statistics, or a related field. Strong background in machine learning, data integration, and high-dimensional data
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Postdoctoral Research Associate to join our group. We are broadly interested in understanding the forces that structure plant communities and how they will respond to global change, and we seek a motivated
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and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal
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, leading to post-infectious morbidity and mortality. Single cell technology will be implemented to identify drivers of post-infectious inflammation. Excellent applicants will need wet lab experience in
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engineering pipelines. Implement models in Python using frameworks such as PyTorch, TensorFlow. Perform statistical analyses and model benchmarking against existing methods. Collaborate with wet-lab scientists