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of professional social media accounts using a social media management tool such as Sprout or Hootsuite. Familiarity with paid Digital Marketing campaigns including Google display, meta instant forms, and promoted
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Experience developing software with Python, R, and/or Julia Experience with machine learning and AI algorithms and tooling (e.g. PyTorch) Experience with remote sensing and open-source GIS tools (e.g. Google
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responsible for contributing to Rutgers-Newark’s STE[A]M broadening participation and persistence initiatives. The Post-Doctoral Associate will support programming; conduct original research, including meta
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- Critical approaches to media and data infrastructures, platforms, and algorithms - Creator economies (advocacy, activism, professionalization, uneven access) - Political economy of emerging media - Cultural
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, etc. - ML-augmented numerical method development. - High-performance computing (HPC). - Quantum algorithm design. - Error correction or error mitigation. City
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highly valued. Ability to collaborate well with a team, and experience working in a university environment. Foundational understanding of data structures, algorithm design, or object-oriented. Experience
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, implementation, and evaluation ● AI in public management, government operations, and public service delivery ● Algorithmic decision making, accountability, and transparency ● The responsible and ethical use of AI
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. Assign faculty advisors for student registration and graduate project mentors. Collaborate with faculty teaching “Systematic Review and Meta-Analysis” to assign CLS content advisors. Collaborate with
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are the following: Obtain and maintain regulatory approval. Set up screening algorithms to identify eligible participants. Recruit participants, collect/ process samples. Design data collection tools (e.g., redcap
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datasets and data models ● Experience working with a DBMS in both on-cloud and on-premise environments ● Experience in C++ programming ● Problem solving skills and ability to think algorithmically