IBM Research is seeking candidates to fill a Research Staff Member position
The Ideal candidate will explore the evaluation of complex physiological and behavioral data, including anatomical and functional brain imaging, as well as language production from healthy human volunteers and patients suffering different neuropsychiatric conditions such as Parkinson's disease, Alzheimer's disease, schizophrenia and chronic pain. The work will involve the development of predictive computational models to identify the diagnosis and the prognosis of cohorts and individuals, and device strategies for stratification and intervention in clinical trials.
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Primary job category
(0147) International Business Machines Corporation
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IBM Business Group
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Being You @ IBM
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Required Technical and Professional Expertise
· At least 2 years experience in Machine learning
· At least 2 years experience in Computational Neuroscience
· At least 2 years experience in Computational Linguistics
· At least 2 years of experience in signal processing and voice analytics
Preferred Technical and Professional Experience
· At least 2 years experience in Neuroscience
· At least 2 years experience in Brain imaging,
· At least 2 years experience in Neuropsychiatry
Secondary Job Category
Early Professional Track
Not Applicable - Professional Hire
For additional information about location requirements, please discuss with the recruiter following submission of your application.
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With more than 3,000 researchers in 12 labs located across six continents, IBM Research brings together hundreds of researchers who possess unparalleled industry expertise to address some of the world's most challenging problems. Join us as we do pioneering work in areas such as cognitive computing, augmented intelligence, quantum computing, and blockchain, to name a few.
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