162 algorithm-development-"The-University-of-Edinburgh" PhD positions in United States
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also have opportunities for a) multi-site collaborations with scientists across the US, b) strong mentoring and growth in a fast-paced leading edge environment, and c) development of his/her own research
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both the Institute and AFRL, advancing the science of innovation through research, collaboration, and workforce development. The initial fiscal year appointment is for one year with the possibility
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, or artificial intelligence based approaches) and the development of sustainable pest management technologies. The successful candidate will become an integral member of the Center for Urban and Industrial Pest
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also participate in an average of one research cruise per year. It is anticipated that the Research Assistant Professor will develop their own independent research projects and write their own grants
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based on advancing the development and application of focused ultrasound for non-invasive neuromodulation, ablation, and brain drug/gene delivery. The successful candidate will be an integral part of
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tools in heat and mass transfer, microfluidics, thermodynamics, bioengineering, micro/nanotechnology, and computational modeling. We are passionate about developing novel translational platform
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indicated below: · Work on assigned projects (~80%) · Review scientific literature, write manuscript, and prepare poster (~10%) · Attend lab/center meetings and research seminars (~5%) · Other related duties
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Participates in study design, data acquisition and analysis, manuscript development, and presentation/publication of results. Helps with administration and educational translation of the research agendas
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detectors recording nuclear collisions. The expected candidate has strong experience in ML/AI to facilitate the development of a framework to search for unknown and not yet discovered transitions in
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position is funded by multiple NIH projects, e.g., https://tinyurl.co m/ysxhmujvThe overall goal is to : (1) develop inference and dynamic prediction models using a wide variety of data, including clinical