Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Fraunhofer-Gesellschaft
- The University of Akron
- OSU
- The Ohio State University
- University of Miami
- AIT Austrian Institute of Technology
- Forschungszentrum Jülich
- George Mason University
- Illinois State University
- Johnson & Wales University
- Luxembourg Institute of Health (LIH)
- Max Planck Institutes
- Oak Ridge National Laboratory
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Singapore Institute of Technology
- Texas A&M University
- Texas A&M University System
- University of Melbourne
- University of North Carolina Wilmington
- University of Pennsylvania
- University of the Virgin Islands
- Yale University
- 12 more »
- « less
-
Field
-
languages for data analysis, modelling, and scientific computing. • Strong foundation in data analytics, numerical modelling, and data-driven decision support. • Able to collect, organise
-
computing. Strong foundation in data analytics, numerical modelling, and data-driven decision support. Able to collect, organise, evaluate, and document data from multiple technical and public sources. Able
-
support high-performance computing, data privacy, and compliance requirements (e.g., HIPAA, IRB) Collaborate with data scientists, IT teams, and clinical stakeholders to translate ML/AI models into
-
education; and (3) relevant preparation, including coursework and skills in mathematics, statistics, computing, and/or mathematics education, as well as any specialized training, research experience, or
-
high dimensional parameter inference problems with Bayesian statistics, powerful MCMC methods have been proposed, for example the MCMC differential evolution and the Riemann Manifold Langevin Monte
-
identification through a structured literature review. Under the guidance of our researchers, you will re-implement and evaluate selected reference methods from current research (e.g. in Python or MATLAB
-
, mixed methods, or quantitative methodologies and grant writing. Ideal candidates must demonstrate quality teaching/scholarship/service, student engagement, a commitment to collaboration, and an
-
of the area exam is to assess a student's understanding of his/her broad area of research. It tests the student's knowledge of the area's fundamental problems, techniques and methods, as well as the
-
methods of quantifying foods based on photos, standard units and household measurements; Linking consumed foods to their nutritional composition using food composition tables (e.g. Ciqual
-
the means and methods to be used in accomplishing work assignments. 5. Prioritizes and schedules repair work with supervisor. 6. Secures materials, supplies and equipment. 7. Estimates spare