817 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Singapore
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Nanyang Technological University
- National University of Singapore
- Singapore Management University
- Singapore University of Technology & Design
- Singapore-MIT Alliance for Research and Technology
- Ministry of Education
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Nanyang Technological University;
- ;
- Lee Kuan Yew School of Public Policy
- Nature Careers
- 1 more »
- « less
-
Field
- Computer Science
- Economics
- Engineering
- Medical Sciences
- Business
- Education
- Science
- Biology
- Arts and Literature
- Materials Science
- Mathematics
- Psychology
- Philosophy
- Electrical Engineering
- Humanities
- Linguistics
- Social Sciences
- Environment
- Sports and Recreation
- Chemistry
- Law
- Design
- Earth Sciences
- Statistics
- 14 more »
- « less
-
topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety. Key Responsibilities: Manage own academic
-
support to the Leads and ensuring a good learning experience for the students. The Senior Executive is also required to work closely with the other departments to support major School events and activities
-
an emphasis on technology, data science and the humanities. We are seeking a motivated Research Associate to support a haematology image-analysis project, contributing to the development of machine-learning and
-
digitalization and computation. To further develop machine learning tasks for scent signal classification/fusion. Set up and analyze experiments under different conditions. To propose a methodology/framework in a
-
operational modelling and simulation, pricing & cost control to contribute to growth of the team resources. The ideal candidate is highly organized and proficient in using current data and machine learning
-
or personal mentorship; capture feedback on knowledge sharing and technical problem-solving impact. Identify real-world AI projects that build software engineering depth and machine learning pipeline skills
-
through the application of AI / deep learning / machine learning / statistics on spatial and single-cell omics (transcriptomics, proteomics, epigenomics, metabolomics, meta-transcriptomics, etc.) data
-
-related and miscellaneous duties as assigned by the Department when there are manpower requirements at the Design Lab to support the lab classes and train new users on the testing machines Qualifications
-
: PhD degree in Computer Science, Electrical Engineering, or a closely related field Strong research background in computer vision and deep learning Solid experience with multimodal learning, segmentation
-
learning and inverse reinforcement learning. Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer vision; machine intelligence; explainable AI; cognitive/brain