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researchers with a PhD in machine learning or a related area who are enthusiastic about collaborating with colleagues in the social and behavioral sciences and public health. The ideal candidate will have a
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with a PhD in machine learning or a related area who are enthusiastic about collaborating with colleagues in the physical sciences particularly physics, astrophysics, and cosmology. The Simons
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other such tasks as assigned to you. Your core responsibilities will include: EEG-based Brain Computer Interface (BCI). Developing BCI decoding algorithms and BCI strategies that integrate ML with human
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collaboration settings. Excellent written and verbal English communication skills PhD in computer science and education, human computer interaction, instructional design, or other related fields Desirable
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strong interpersonal and problem-solving skills in team collaboration settings. Excellent written and verbal English communication skills PhD in computer science and education, human computer interaction
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the broader community. You have BS in machine learning, cybersecurity, statistics, or related discipline with eight (8) years of experience; OR MS in the same fields with five (5) years of experience; OR PhD in
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the broader community. You have BS in machine learning, cybersecurity, statistics, or related discipline with eight (8) years of experience; OR MS in the same fields with five (5) years of experience; OR PhD in
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be disseminated through academic publications and online webinars. The successful candidate will have a PhD in human-computer interactions or computer science and related fields, with demonstrable
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an interesting and challenging work environment. You will contribute to the department by conducting computational research applying CALPHAD-based ICME techniques in combination with machine learning techniques
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to biomedical devices and energy materials. Specifically, his group works on high performance biosensors, biomonitoring devices, and brain-computer interfaces. The process development side focuses on using