1,458 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Singapore
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Nanyang Technological University
- National University of Singapore
- Singapore Management University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Singapore University of Technology & Design
- Singapore-MIT Alliance for Research and Technology
- Nature Careers
- Lee Kuan Yew School of Public Policy
- Ministry of Education
- Nanyang Technological University;
- Lee Kong Chian School of Medicine
- NANYANG TECHNOLOGICAL UNIVERSITY
- ;
- CNRS
- College of Integrative Studies, Singapore Management University
- National Parks Board
- 6 more »
- « less
-
Field
- Computer Science
- Engineering
- Economics
- Medical Sciences
- Business
- Materials Science
- Education
- Biology
- Science
- Arts and Literature
- Mathematics
- Chemistry
- Environment
- Psychology
- Social Sciences
- Electrical Engineering
- Humanities
- Law
- Design
- Linguistics
- Philosophy
- Earth Sciences
- Sports and Recreation
- Physics
- Statistics
- 15 more »
- « less
-
of lab-scale and pilot-scale experiments/operations with element of machine learning, sample characterizations, data analysis, and so on. Job Requirements: PhD degree in Materials Science, Polymer Science
-
-centred design and AI, with a focus on how AI technologies—such as natural language processing, computer vision and sensors—can be leveraged to enhance the human condition. The candidate will contribute
-
. • The ability to work independently and collaboratively within a multidisciplinary team. • Strong writing, critical thinking, communication, and presentation skills. • Experience in Machine Learning is a
-
on the laboratory can be found here. Our group develops machine learning algorithms to automatically generate discoveries from large-scale brain imaging data. We aim to uncover fundamental principles
-
tools (e.g. RPA, intelligent document processing, workflow automation) Experience designing dashboards and reports using modern BI tools (e.g. Power BI) Working knowledge of AI / machine learning concepts
-
peer-reviewed journals and/or top-tier conferences. Knowledge & Skills: Strong foundation in machine learning, deep learning, and algorithm development. Proficiency in scientific programming (e.g
-
and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and machine learning methods. We are interested in the large-scale brain structural and
-
, economics, or a closely related field. Excellent knowledge of computational linguistic tools and machine learning techniques. Experience with data analysis with Python and STATA. Prior experience in
-
characterization of integrated memristor devices and systems. • Develop algorithms and system-level integration strategies to harness the capabilities of AI accelerator for machine learning and deep learning
-
biomedical laboratory work; assist with experimental workflows as required Qualifications Diploma in Biotechnology, Biomedical Science, or a related field Basic computer proficiency (email, Microsoft Office