Sort by
Refine Your Search
-
with the PIs and autonomously, and will be proficient in advanced econometric techniques, leveraging large datasets. The Postdoctoral Fellow reports directly to faculty in the Digital Reskilling Lab and
-
: Experience with SQL, PySpark, and cloud-based data tools such as Azure Data Lake, Synapse, or Fabric; and strong command of data wrangling, cleaning, and large-scale dataset management. Machine Learning/Deep
-
cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
-
strong command of data wrangling, cleaning, and large-scale dataset management. Machine Learning/Deep Learning: Experience with PyTorch, TensorFlow, or Hugging Face; embedding models; and model validation
-
into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word “challenging
-
the role: We are looking for a Data Services Coordinator to support the adoption of best practices for data governance and ensure that CRM systems and large data sets meet the functional needs
-
Postdoctoral Research Fellow position in statistics, genetics, and biomedical AI. The lab develops cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical
-
the underlying fundamentals such as Transformers, Self-Attention mechanisms that form the theoretical foundation of LLMs Experience working with a variety of relational SQL and NoSQL databases, big data tools
-
complete complex data processing and analyses on this large and complex dataset. The ideal candidate has strong expertise in Python and is comfortable working with ambiguous, big and messy data streams
-
biased narratives in public discourse sustain intergroup conflict and inequality? How do large-scale upheavals shape our collective identities and narratives? More information is available here . We