2,245 python "https:" "FUNDACIÓ ESADE UNIVERSITAT RAMON LLULL" positions at Rutgers University
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. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer-reviewed journals and present findings at national and international
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preferred candidate will have experience teaching data wrangling, programming in Python and base R, and industry experience in data analytics or data science. The role will cover the full range of duties
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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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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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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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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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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. 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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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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, PCR machines, shaking incubators and plate readers. Coding skills in python or MATLAB are also advantageous, but not required. Equipment Utilized Physical Demands and Work Environment Physical Demands