879 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"IFM"-"IFM" 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
- Arts and Literature
- Biology
- Materials Science
- Psychology
- Mathematics
- Electrical Engineering
- Humanities
- Philosophy
- Social Sciences
- Environment
- Linguistics
- Sports and Recreation
- Chemistry
- Law
- Design
- Earth Sciences
- Statistics
- 14 more »
- « less
-
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
-
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
-
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
-
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
-
, 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
-
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
-
, machine learning, or data visualization tools. Long-term interest in pursuing a Ph.D. in a business-related field. Compensation and Benefits Competitive salary will be paid on a monthly basis, benchmarked
-
experience with management and strategy research, economic modelling and statistical analyses are essential. Familiarity with data mining, machine learning and computation techniques, especially in the context
-
for machine learning and artificial intelligence, with a strong emphasis on developing and applying models such as LSTM and other time-series analyses to predict the longevity and behaviour of bioactive
-
. Experience with data-driven modelling, machine learning, or AI applications in energy systems is an advantage. Familiarity with modelling of energy networks, district cooling systems, or integrated urban