Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nanyang Technological University
- Ryerson University
- University of British Columbia
- Aston University
- Auburn University
- CRANFIELD UNIVERSITY
- Cardiff University
- George Washington University
- LINGNAN UNIVERSITY
- Oak Ridge National Laboratory
- Oregon State University
- Pennsylvania State University
- The Chinese University of Hong Kong
- The University of Alabama
- University of Adelaide
- University of New Hampshire – Main Campus
- University of Sheffield
- 7 more »
- « less
-
Field
-
of machine learning and multivariate statistical techniques for interpreting large-scale hydrodynamic and climatological datasets. Strong programming skills (e.g., Python, R, MATLAB, Fortran) and familiarity
-
). Strong programming skills in Python or a similar language (assessed at: application/interview). Ability to set up and configure software environments, eg installing simulators or libraries (assessed
-
and Bioinformatics using Python and R and practical experience of applying these skills and techniques in Machine Learning models and software development. High level analytical capability is essential
-
related). Technical Skills: Familiarity with artificial intelligence/machine learning techniques and data analysis. Experience with programming (Python or similar) and handling educational data is a plus
-
., optimization, dynamical systems, graph theory, probabilistic modeling) or adjacent fields with engineering impact. (4) Fluency in prototyping and software development (e.g., Python, C++, CUDA, or ML frameworks
-
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
-
a MEng/MSc in Electronics, Computer Science, Mechatronics, or a relevant discipline. You will have demonstrated track record of proficiency in C#/Python as well as experience with Unity, embedded
-
, SketchUp and Visual Novel (3D rendering and visual storytelling), Python, Optical Character Recognition (OCR), Natural Language Processing (NLP), and AntConc. Candidates with expertise in the latest
-
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