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Aurora, Colorado. Why Join Us: The Department of Neurosurgery is a highly collaborative unit, with faculty excelling in clinical care, research, education and innovation, working together to advance
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photoelectrochemical ammonia synthesis funded by the Australian Research Council The successful candidate should have research experience in electrochemical technology and prototype design. They will have excellent oral
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recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a confidential discussion. Your
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countervailing immunoediting processes that seek to control and eradicate these cancers. This project specifically focuses on ovarian cancer, a difficult-to-treat and life-threatening cancer for which early
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Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering
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for Pulmonary and Vascular Biology at UT Southwestern Medical Center (Dallas TX, USA) is seeking two self-motivated postdoctoral fellows to join the team to lead multiple NIH-funded projects. The Shaul-Mineo Lab
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supplemented, enhanced, and analysed during the project. We will use digital imaging and other techniques to recover new texts and will deploy approaches from Computational Linguistics (including Large Language
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 8 days ago
public health task by making sure that safe and effective drugs are available to improve the health of people in the United States. As part of the U.S. Food and Drug Administration (FDA), CDER regulates
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the display and the distribution of processed data. Related projects and responsibilities will include: Creation of artificial intelligence algorithms that effectively integrate molecular, pathology/image, and
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of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical techn ology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess