Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- The University of Chicago
- Carnegie Mellon University
- Duke University
- Harvard University
- Binghamton University
- Nature Careers
- Purdue University
- University of Texas at El Paso
- George Mason University
- Northeastern University
- Oak Ridge National Laboratory
- University of North Texas at Dallas
- University of South Carolina
- Auburn University
- Cornell University
- Johns Hopkins University
- The University of Iowa
- University of Massachusetts Medical School
- University of Miami
- University of New Mexico
- University of Oklahoma
- University of St. Thomas
- University of Texas Rio Grande Valley
- University of Washington
- 14 more »
- « less
-
Field
-
and Machine Learning Researcher will report to Ayan Paul, Research Scientist at EAI. There will also be opportunities to work on industry collaborations. Responsibilities will include building an ETL
-
, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
-
, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
-
the integration of modern machine learning tools into computational catalysis workflows. Write research proposals for funding and manuscripts for publication. Assist the PI with the supervision of students and
-
advanced data science methods, including statistical modeling and machine learning approaches Developing and applying novel causal inference methods, such as target trial emulation and causal AI frameworks
-
Science, or a closely related field Prior coursework and working experience in data science, machine learning, statistics, or related areas Proficiency in Python for data analysis and modeling, machine learning
-
doctoral degree in Computer Science or Biomedical Informatics or a closely related quantitative field. The successful candidate demonstrates documented expertise in machine learning and distributed
-
University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
. Lab Research: • AI-Driven Algorithms & Software: Develop deep leering/machine learning/statistical based algorithms to elucidate lncRNAs, fusion transcripts, RNA modifications, and circular RNAs in
-
computer programs to review data. Assist with data cleaning measures to ensure accuracy of data and preparation of tables. Lead basic activities such as data collection and data entry. May lead specific
-
research. Experience applying machine learning and statistical modeling techniques to large biological datasets for biomarker discovery, disease prediction, or host-pathogen investigations. Proficiency in