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by combining psychological profiling, biological lab data, physiological time series, and sensor data. The postdoc will play a leading role in developing and implementing predictive algorithms designed
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Natural History. The researcher will develop deep learning models to predict individual bee age based on wing morphology. This model will be trained of existing wing images and applied to images of museum
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to improve radar performance - Participate in the selection of electronic systems to be tested - Develop injection methods for the selected systems - Characterize the waveforms used for susceptibility test
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toward commercialization. The project is funded through Mar. 31, 2027, renewable for another year pending a progress review. https://www.oist.jp/innovation/technology-development [Work content and job
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full-wave simulations and characterize the relevant metamaterial structures. Extend existing analytical tools and numerical models. Prepare and publish scientific articles and reports and co-supervise
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JOB SUMMARY The Physiological Acoustics Lab (http://escabilab.uconn.edu) at the University of Connecticut seeks applicants for a postdoctoral position in systems and computational neuroscience
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development to biomedical studies. The main research areas include sensitization, immuno-oncology, and biomarkers. The modern facilities are located at Medicon Village, where academic research is carried out
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to developing an HR Strategy for Researchers, designed to bring the practices and procedures in line with the principles of the European Charter for Researchers and the Code of Conduct for the Recruitment
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https://www.med.unc.edu/pharm/directory/yinglong-miao/) is
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating