The Duke Clinical Research Institute (DCRI), in partnership with Duke Forge (Duke's center for health data science), is now accepting applications for the Health Data Science Internship Program. Duke students who are pursuing a master’s degree in Statistical Science, Biostatistics & Bioinformatics, Electrical & Computer Engineering, Computer Science, Mathematics, Economics, Computational Biology & Bioinformatics, or other quantitative fields and are scheduled to graduate in spring of 2020 or later are invited to apply.

Bass Connections creates opportunities for graduate and undergraduate students to work alongside faculty to explore societal challenges through interdisciplinary research teams. The Bass Connections Student Research Award provides funds of up to $3,000 (for one to two students) or $5,000 (for groups of more than two students) to support student-directed research projects...

Duke Forge is seeking applications for its Summer 2019 Health Data Science Communications Internship Program. Undergraduate and graduate-level students who have a demonstrated interest in and facility with internet research, web design, health data, science communication, fact-checking, and/or quantitative science are invited to apply.

Duke's annual datathon. Attack a dataset and come up with an analysis and visualization while racing against the clock. Top teams will win prizes, and all students will have the opportunity to interact with industry and academic sponsors.

New Spring 2020 Class Offering Training in AI to All Duke Students: This class will introduce the student to machine learning (ML) and artificial intelligence (AI) methods that have become increasingly useful in practice, specifically deep learning and neural networks. Application areas include image analysis, text analysis, and optimal decision making. This class is directed to any Duke student, independent of major, who is interested in learning the basics of ML and AI.

This year’s Duke Research Computing Symposium will include the (now traditional) gala poster competition. Like last year, the session will be associated with the scintillating talks to take place the afternoon of February 5, 2020 in the Penn Pavilion on Duke’s West Campus. This year, the scope has widened, since the symposium and the poster session are open to our colleagues at North Carolina Central University (NCCU) and the University of North Carolina at Chapel Hill (UNC-CH).

Data+ is a full-time ten week summer research experience that welcomes Duke undergraduate and masters students interested in exploring new data-driven approaches to interdisciplinary challenges. It is suitable for students from all class years and from all majors.

Duke Forge is seeking applications for its Summer 2020 Health Data Science Communications Internship Program. Undergraduate and graduate-level students from the NC Triangle area with strong writing/editorial skills and a background or interest in science communication, medicine, population health, health policy, social sciences, computer science, machine learning, and/or statistics are invited to apply.

The Children’s Health and Discovery Initiative (CHDI) Summer Internship Program is a multidisciplinary experience designed for rising juniors and seniors attending Duke University who are interested in conducting research focused on improving child health and identifying pediatric origins of disease.

The Margolis Scholars program is a prestigious program for Duke University students that demonstrate strong interest in and commitment to a career in health policy and management, as well as leadership potential to improve health policy. Named in honor of Robert Margolis, M.D., the founder of Duke-Margolis and a pioneer of innovative integrated care delivery models, the Margolis Scholars program provides promising students with the necessary knowledge, skills, and abilities to be the next generation of health care leaders.

The +DS summer research program in 2020 will be a 6-week full-time experience held from May 13–June 26. Due to safety measures in response to COVID-19, the 2020 program will be held remotely and there will be no in-person or campus-based activity for students.

The Duke University Office of the Provost is offering a broad set of opportunities to support Ph.D. students during Summer 2020. A limited number of experiential fellowships with external organizations are available by application. The partner organizations will offer internship experiences for Ph.D. students with funding provided by Duke University. Duke is also offering internships and research assistant opportunities.

“AI for Everyone” will be offered in fall semester 2020 in an online format. The goal of this course is to provide an applied introduction to current techniques in machine learning and how they can be used to make sense of large amounts of data, while allowing students to focus on how machine learning is impacting their discipline of study. Registration is currently open to both undergraduates and graduate students.

The goal of this Online project is to implement artificial intelligence algorithms directly into the hardware of an integrated circuit, so that these circuits can perform image reconstruction and pattern recognition in a much shorter time than computer software. The long-term goal is to deploy such integrated circuits in particle physics experiments at the Large Hadron Collider (LHC) at CERN, where the Higgs boson was discovered in 2012.

The goal of the Office of Science Graduate Student Research (SCGSR) program is to prepare graduate students for science, technology, engineering, or mathematics (STEM) careers critically important to the DOE Office of Science mission, by providing graduate thesis research opportunities at DOE laboratories.  The SCGSR program provides supplemental awards to outstanding U.S. graduate students to pursue part of their graduate thesis research at a DOE laboratory/facility in areas that address scientific challenges central to the Office of Science mission.

Dr. ElMallah’s lab is focused on the control of breathing and pulmonary mechanics in murine models of several genetic diseases, including Pompe disease and Duchenne Muscular Dystrophy. We evaluate the efficacy of adeno-associated viral-mediated gene therapy and neuromodulation to correct the respiratory insufficiency that results from these neuromuscular disorders. Specific functions we test are whole body plethysmography (respiration) and neurophysiology, which measure the muscular and neurological inputs that enable breathing.

It is well-known that the United States incarcerates more people per capita than any other nation.  In addition, inmates in the US are disproportionately drawn from communities of color.  I am undertaking a study that aims to understand the historical political roots of mass incarceration by race in the US, including the way in which the funding of police has contributed.  To do so, I am collecting and analyzing new individual-level data on the race, criminal conviction, sentence length, and geographic location of newly admitted prisoners since the 1950s.  I am looking for students interest

The recent growth of energy-related data and evolution of data science techniques have created promising new opportunities for solving energy challenges. Capitalizing on these will require scholars with training in both data science and energy application domains. Yet traditional graduate education is limited in its ability to provide such dual expertise. In 2018, the Duke University Energy Initiative established the Energy Data Analytics Ph.D.

The program is designed to allow students who have previously completed the +DS curriculum to continue their engagement with substantive applied projects. The +DS Advanced Projects in Health Data Science offer Duke students, both undergraduate and graduate, the opportunity to be a part of research teams applying advanced machine learning (deep learning) to important areas of medicine. The students will work in teams, mentored by leading Duke faculty involved in data science research, with guidance by practicing clinicians.

Data+ is a full-time ten week summer research experience that welcomes Duke undergraduate and masters students interested in exploring new data-driven approaches to interdisciplinary challenges. It is suitable for students from all class years and from all majors.

The Duke Summer Computing Institute is a 6-week virtual learning experience open to any undergraduate studying engineering or science.

You're invited! No affiliation with Duke or previous programming experience is required.

Learning with Duke's expert faculty, build skills in programming, data science and machine learning through an immersive online experience

We are looking for an undergraduate student to join the Oceans Program at the Nicholas Institute, focusing on developing our plastics policy research portfolio. Specifically, the student will use systematic review methods to update our Plastics Policy Inventory with the most recent public policy documents from governments regarding plastic pollution. The student will also oversee the expansion of the inventory to include policy documents in languages other than English.

Aboveground storage tanks (ASTs) are an integral part of energy systems, responsible for holding a variety of petrochemicals. To assess the vulnerability of ASTs to natural hazard-initiated failures, this project utilizes existing publicly available aerial images to develop a dataset for use in an object detection model. For more details, please e-mail Celine Robinson at celine.robinson@duke.edu.

The Duke Clinical Research Training Program (CRTP) is excited to offer a new course on Machine Learning for Health, led by Duke Biostatistics & Bioinformatics’ Matthew Engelhard, MD, PhD. Explore and implement machine learning techniques poised to disrupt clinical practice, including computer vision and natural language processing. Course material will provide an intuitive, applications-oriented perspective through hands-on exercises, interactive lectures, and clinical case studies.  

The Clark Honors College, a liberal arts honors college within the University of Oregon, invites applications for a career faculty member with demonstrated teaching excellence in applied data science. The faculty member will design and offer lower and upper division science courses that that support students from all majors in learning how to analyze structured and unstructured data, frame/define problems in accurate, socially conscious, and just ways, consider what it means to measure equitably, and explore how technologies and findings affect marginalized communities.