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advanced signal processing and time–frequency analyses of neural recordings. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer
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such as R, SAS, ArcGIS, SQL, Python and AI tools. Conducts geospatial and epidemiologic analyses relevant to the catchment area to assess cancer outcomes, spatial patterns, temporal trends, and disparities
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include the following: Conduct research in the area of aging, balance, fall rehabilitation, app development, and biomechanics. Data Post-processing. Programming using MATLAB, Python, and Java/Kotlin
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analyses of neural recordings. Integrate iEEG data with neuroimaging (MRI, CT, fMRI), behavioral, and clinical datasets. Develop and implement computational pipelines using MATLAB, Python, or similar
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in programming (MATLAB, Python, R) Experience using advanced statistics Ability to build advanced experimental interfaces (using Matlab, Psychopy, JavaScript, etc.) Track record in publishing
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analysis using a software platform such as R, Python, MATLAB, STATA, SAS, or others. Proficiency in energy modeling/simulation and cost estimating using such platforms as DesignBuilder and EnergyPlus and
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. Scripting in Python, Bash, or Go. Familiarity with TCP/IP, DNS, firewalls, and load balancing. Solid grasp of application security best practices. Strong problem solving in complex, multi-tier environments
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information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Department of Library and Information Science seeks part-time lecturers for its
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arrangements are not permanent, are subject to change or cancellation and contingent on the employee receiving approval in the FlexWork@RU Application System. Additional information may be found at https
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., R, Python) and modern data analytics. Excellent organizational, communication, and collaborative skills. Certifications/Licenses Required Knowledge, Skills, and Abilities Provide stewardship