67 machine-learning-"https:"-"https:"-"https:"-"https:"-"Bournemouth-University" PhD positions in United States
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candidate will play a key role in designing and implementing innovative solutions at the intersection of sensor data collection, machine learning, and real-time decision-making. Specifically, the candidate
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conditions), sexual orientation or military status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of
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machine learning for next-generation wireless networks, (ii) Foundations of semantic communications and age of information, (iii) Stochastic geometry and spatial modeling of large-scale wireless systems
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engagement, or programming--are encouraged to apply, with opportunities to grow in other areas through collaborative mentorship and team-based learning. As part of Cornell University, a world-class research
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Proficient in personal computer (PC) use and Microsoft Office Attention to detail Possesses excellent communication and organizational skills Demonstrates dependability, as well as positive phone and people
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on psychological assessment of learning and attention disorders and neuropsychological testing with youth with various medical conditions (including seizures, cancer, and kidney transplant patients). The fellows
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experimental design. Collaborate with another postdoc in the NIH Center to use scientific machine learning (SciML) to automatically select mathematical models from data. Minimum Requirements: Ph.D. in applied
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identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a community built on
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AI and machine learning applications in health research. Demonstrated ability to manage large datasets and develop predictive models. Excellent written and verbal communication skills. Strong
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responsibilities for the Research Assistants are: Learn psychophysiology data management and processing methods Implement data management, preparation, and processing methods with participant files with detail