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(fUS), fMRI; optical imaging, electrophysiology) Are proficient in the analysis of large-scale and complex datasets Are motivated to pursue independent research ideas in the field of psychiatric and
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collaboration with graduate students and external partners. MINIMUM QUALIFICATIONS Knowledge of complex systems, network science, bioinformatics, and computational modeling, with the ability to design and
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Experience Posting Number P260049 Posting Link https://www.ubjobs.buffalo.edu/postings/61494 Employer State Position Type UUP Professional Professional Appointment Term Term Salary Grade SL5 Posting Detail
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Location Lexington, KY Grade Level 09 Salary Range $43,680-71,323/year Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: https
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stakeholders and participants across the region. Working collaboratively with academic investigators, clinical teams, and research personnel, the Analyst ensures effective data collection, analysis, and research
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successfully. Deliverable production. The Senior Researcher will lead the production of key deliverables for CIRCLE projects, which will involve writing and/or editing complex content for external-facing
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. Instructions to Applicants: For full consideration, applicants must apply for Director, Financial Analysis & Cost Management Accounting at https://jobs.gmu.edu/. Complete and submit the online application
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Proficiency in at least one programming language (Python, C++, …) Keen interest in neuroscience is essential Experience with modelling, analysis of complex dynamical systems, simulation, analysis of large-scale
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project. To be successful in this role you will have excellent communication skills and written English, strong quantitative and data analysis skills, the ability to work creatively and independently, and a
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team, you will deal with challenging questions related to artificial intelligence, sentiment analysis, social networking analysis, marketing and management strategy, public policy, marketing data