Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
• PhD in Mathematics/Statistics/CS. Skills: • Proficiency in reinforcement learning, quantitative finance, risk management, and machine learning. • Strong programming skill in Python
-
data analysis (e.g., surveys, focus groups, experiments, content analysis) Experience or coursework in computational methods and data analysis (e.g., Python, R, NLP techniques). Familiarity with grant
-
existing pipelines (R/Python) and contribute to development of reproducible analysis workflows. Maintain meticulous experimental records, data organization, and documentation. Support data analysis and
-
thesis examination and award of the PhD degree are welcome to apply. Experience in computational math. Proficient in coding languages, such as C, C++, Fortran, and Python. Strong written and verbal
-
mechanical fabrication; • embedded systems and sensor integration; • ROS, C++, or Python programming. • Candidates should demonstrate strong practical problem-solving skills
-
coding skills in Python with PyTorch, including reinforcement learning, imitation learning, and flow matching/diffusion-based generative models. • Experience designing hierarchical control
-
, such as Python, MATLAB, or R. • Demonstrated experience in digital twin, EMIS, and data analytics. • Demonstrated experience in database management, dashboard development, and cloud platforms
-
optimization algorithms is highly desirable Excellent programming skills in Python, C++, Java, Julia, or other relevant languages Knowledge of maritime decarbonization and alternative fuels is a plus A good
-
++ or Python) We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
-
computer science, data science, machine learning, engineering, geophysics, or related field Strong programming skills in Python and at least one compiled language, such as C, C++, or Fortran Experience in scientific