Sort by
Refine Your Search
-
) Develop digital twin models for ventilators using machine learning and AI modelling techniques, b) Run simulations to obtain ventilator’s performance in varying conditions, c) Draw insights through
-
Job Description Job Title : Research Associate in AI and Machine Learning Department : Saw Swee Hock School of Public Health Institution : National University of Singapore Position Type : Full-time
-
on the theory and applications of machine learning. The position emphasizes advancements in artificial intelligence and operations research, supporting Singapore's goal of using technology for societal
-
) will be responsible to assist in developing techniques such as AI/machine learning/deep learning , to model the normal behaviours and detect anomalies in SDN. The work involves experimentation with a
-
Master/ Bachelor’s degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs. • Extensive experience in
-
on their performance. Responsibilities: • Develop, maintain, and monitor scalable data pipelines and machine learning models across various platforms. • Design and implement robust APIs to enable seamless
-
, exploring methods of data analysis, cleaning and pre-processing of raw data, modelling data using Machine Learning/Deep Learning techniques, and sharing of insights to stakeholders using visualizations. Our
-
the Platforms Engineering Group, you'll help build and operate modern infrastructures and systems to run large-scale machine learning and deep learning workloads. As part of the data engineering team
-
resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs. • Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell. • Ability
-
of high-gain antennas and apply prior-knowledge for machine-learning enabled-synthesis. The applicant will report their research achievements at prestigious journals and conferences. The applicant shall