46 algorithm-development-"The-University-of-Edinburgh" Postdoctoral positions at Northeastern University in United States
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combination of the following responsibilities. Assist in intiating, executing, and completing clinical research and experiments (60%); Prepare and write research papers, presentations, and grant proposals (25
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About the Opportunity This job seeks a postdoc to work on one or more projects related to the development and assessment of wearable robotics. Possible projects topics include: Developing machine
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research program will execute use-inspired discovery with an entrepreneurial mindset that develops science and solutions that matter to society and impact the Maine economy. Postdocs will receive formal and
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include a combination of the following responsibilities. Assist in intiating, executing, and completing clinical research and experiments (60%); Prepare and write research papers, presentations, and grant
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Technologies (BEST) Group led by Prof. Ravinder Dahiya. BEST group aims to bring fundamental changes in the way the sensors and electronic devices are developed using materials designed for sustainability, and
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computational discovery of new quantum materials and optical materials and their heterogeneous structures, demonstration and interpretation of their properties, and the development of related sensing devices and
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Science Center and will work closely with PI Kathleen Lotterhos. NUMSC a strong research presence in evolution and ecology research and there are many opportunities for interaction and collaboration both
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interested in uncovering the role of mechanics in tissue development, healing, and homeostasis. The postdoctoral research associate will perform basic or applied research of a limited scope, primarily using
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researchers) and will be involved in all aspects of the research process. Opportunities will include analyzing rich datasets for publications, developing and writing research proposals and publications
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diseases. Example projects include assessing drivers of global infectious disease dynamics and developing short- and long-term forecasts for those diseases, with a focus on arboviral diseases (e.g., dengue