Sort by
Refine Your Search
-
: Experience combining large clinical and research data sets. Interested and comfortable working with pediatric patients with special needs. A track record of publications in relevant fields. Required
-
from real world longitudinal data on management and health outcomes for children with mental health conditions. Methods have included deep learning, large language models (LLM), generative AI models (Gen
-
on hotspot detection. This modeling work is well supported by large-scale primary datasets, including survey-based, parasitological, serologic, and genomic data. Relevant methodologies include mechanistic
-
substantial component of the work focuses on large scale empirical research in international macroeconomics and finance. The Global Capital Allocation Project (GCAP) Lab mixes data, economic theory, and
-
cultures to uncover the biological mechanisms underlying resilience in APOE4 carriers. EDUCATION AND EXPERIENCE: ● PhD in neuroscience, life sciences Required Qualifications: KNOWLEDGE, SKILLS, AND ABILITIES
-
into tangible products. Critically, this work will generate a large open-source dataset of child-created games that can inform future designs of educational games and AI algorithms. The postdoctoral fellow will
-
perspectives necessary to design, conduct, sustain, and disseminate public impact research. We encourage applications from individuals from a broad diversity of PhD-granting institutions, backgrounds, and life
-
, supply chain. Automated Data Science: Automatically develop new trustworthy models using large language models + tools from interpretable or causal machine learning. Applications to healthcare problems
-
Python/MySQL for big data. Experience with engineering solutions for large-scale experiments in neuroscience. Required Application Materials: CV Cover Letter Interest Statement Stanford is an equal
-
that promote high quality healthcare. Our projects apply advanced analytical methods to large databases of primarily structured electronic health record data and EHR usage metadata. The position will have the