Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Stanford University
- UNIVERSIDAD POLITECNICA DE MADRID
- Auburn University
- Oak Ridge National Laboratory
- Pennsylvania State University
- Ryerson University
- University of Utah
- Zintellect
- CENTRO DE ESTUDIOS MONETARIOS Y FINANCIEROS (CEMFI)
- Curtin University
- Heriot Watt University
- National University of Singapore
- Natural Resources Institute Finland (Luke)
- SUNY Polytechnic Institute
- University of British Columbia
- University of North Carolina at Chapel Hill
- University of Pennsylvania
- University of Southern Denmark
- 8 more »
- « less
-
Field
-
, experience with the Unix/Linux operating system, the Python programming language, and/or the statistical package R is a major asset. Above all, the applicant should demonstrate strong motivation, empathy, and
-
Experience with Python and machine learning libraries (PyTorch, TensorFlow, scikit-learn). Understanding of deep learning, CNNs, Capsule Networks, and image processing fundamentals. Basic knowledge of handling
-
(Biomedical Engineering or related field). Experience with machine learning, computer vision, and data science tools. At least 2 years of experience developing applications with Python and Java. At least 2
-
software. Experience with MATLAB, C++, or Python. At least 7 years’ relevant experience with modeling of electric motors and electromagnetics. Experience in designing and fabricating electric motors
-
skills (e.g., R, Python). The ability to communicate in English is also required. Previous experience in research work, applying different measurement methods, and laboratory work, knowledge of forest and
-
, processes and new technologies is a plus Basic Knowledge of RF systems and computer networks is a plus Preferred Qualifications - Experience with Linux – Knows C++ and Python - Knowledge of basic principles
-
planning. Coursework or research experience in road safety, traffic modelling, or transportation planning. Proficiency in working with open data sources for traffic and transit operations using R, Python
-
., instrumental variables, propensity score matching, and treatment effects). Familiarity with one or more statistical software packages (e.g., R, Stata, Python) for data analysis. Research Aptitude: Demonstrated