giftography.blogg.se - Yale manuscript

#YALE MANUSCRIPT PLUS#

**The expected pay for this position is $64,480 per annum. Our formal deadline was in February 2023, but we are still considering applicants on a case-by-case basis.

Transcript(s) (unofficial is fine please include all full-time programs).

To be considered, please submit the following items along with your online application:

#YALE MANUSCRIPT PLUS#

Experience working with machine learning frameworks (TensorFlow, TF, PyTorch, Scikit Learn, etc.), NLP, computer vision, or related fields is a plus.

Self-guided, self-learner, and engaged in the mission of the Lab.

Prior research experience and coursework in the empirical social sciences is preferred, but not required.

Programming experience in R, Python, Stata, SAS, and/or other languages.

Exceptional research, analytical writing, and communication skills.

Excellent time-management skills and ability to work effectively with minimal supervision.

Eagerness to take initiative and solve intricate problems.

Outstanding academic credentials and intellectual creativity.

A Bachelor's or Master’s degree in a relevant quantitative field (e.g., computer science, data science, statistics, engineering, mathematics, economics, or a related field).

Have the opportunity to receive co-authorship on research papers.

Design and implement state-of-the-art machine learning models, algorithms, and statistical models, while leading the collection of new data and the refinement of existing data sources.

Write reports Report writing and manuscript preparation.

Conduct statistical analyses of complex datasets and interpretation of results.

Collect, manage, and structure quantitative datasets.

Conceptualize suitable empirical methodologies and models.

Work closely with the Faculty Director, Research Director/Manager, data scientists, and teams of fellows and students to drive forward a diverse research program focused on machine learning and policy evaluation.Some of our partners include the Environmental Protection Agency (EPA), the Internal Revenue Service (IRS), the Department of Labor (DOL), and various public interest organizations.Īs a member of our research team, you will: We are an interdisciplinary team of data scientists, social scientists, engineers, and lawyers who are passionate about building high-impact demonstration projects for the future of governance. Ībout Us: Stanford RegLab is an impact lab that partners with government and nonprofits to use machine learning and data science to modernize the public sector. In recent years, fellows have been coauthors on RegLab publications for PNAS, JAMA Health Forum, Nature Sustainability, the American Economic Journal: Economic Policy, the American Law and Economics Review, the Journal of Law, Economics, and Organization, ACM FAccT, the Journal of Empirical Legal Studies, and the Stanford Law Review. Prior Research Fellows have been accepted by PhD programs in computer science, economics, and political science and JD programs at top schools (e.g., Harvard, Stanford, Princeton, Yale). This position is a great next step for those considering graduate school, law school, and/or business school in the future. This is a minimum one-year position, with the option of renewal. Psotka, MD, PhD and Sounok Sen, MD, report no relationship or financial interest with any entity that would pose a conflict of interest with the subject matter of this supplement.The Regulation, Evaluation, and Governance Lab (RegLab) at Stanford University is hiring full-time pre-doctoral Research Fellows to join our research team. Clark, MD, MBA Sant Kumar, MD Mitchell A. These faculty have disclosed the following relevant commercial financial relationships or affiliations in the past 12 months.Īmgen, AstraZeneca, Cytokinetics, Novartis Medical Director, Cardiac Transplantation and Mechanical Circulatory Support

System Section Chief of Heart Failure and Transplant Vice Chief of the Section of Cardiovascular Medicine Assistant Professor of Medicine (Cardiology)Īssociate Professor of Medicine (Cardiology)