Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nanyang Technological University
- National University of Singapore
- AbbVie
- University of South-Eastern Norway
- Singapore Institute of Technology
- Imperial College London
- Nature Careers
- University of Oslo
- University of Bergen
- University of British Columbia
- University of Waterloo
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Michigan
- ;
- Dana-Farber Cancer Institute
- Ryerson University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Queensland
- University of Texas at Austin
- Auburn University
- CRANFIELD UNIVERSITY
- Carnegie Mellon University
- City of Hope
- Georgetown University
- Harvard University
- ICN2
- Johns Hopkins University
- La Trobe University
- Marquette University
- Memorial Sloan-Kettering Cancer Center
- Queen's University Belfast
- Rutgers University
- SUNY University at Buffalo
- Saint Louis University
- Singapore University of Technology & Design
- The University of Alabama
- The University of Southampton
- UNIVERSITY OF SOUTHAMPTON
- University of Agder
- University of Birmingham
- University of Canterbury
- University of Kansas Medical Center
- University of Liverpool
- University of Michigan - Ann Arbor
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Stavanger
- University of Western Sydney
- Zintellect
- 39 more »
- « less
-
Field
-
qualitative and quantitative research techniques which include accurate in-depth assessment, interpretation and evaluation of research outcomes. Maintain optimal experiment progress in the laboratory or in
-
be required to lead a project under a larger research programme between Singapore and China. The candidate should fulfill the following responsibilities: Design, perform, and optimize experiments with
-
chip. A strong background in the design and fabrication of silicon photonic devices, advanced characterization techniques, and an interest in semiconductor materials optimization is highly desirable
-
. • Optimize the selection of materials, such as catalysts, membranes, and gas diffusion layers, to enhance system performance and longevity. Qualifications • PhD in Mechanical Engineering, Chemical
-
Investigator (PI) or team lead with project management tasks. Job Requirements: PhD degree in Optimization, Artificial Intelligence, Transportation or Aerospace. Evidence of developing Machine Learning and
-
and chemoproteomics studies Help develop and apply biochemical, biophysical, and metabolic stability assays Screen compounds; analyze and interpret data Apply data to the iterative design of optimized
-
optimization of multi-modal LLMs. Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content. Develop and refine machine learning and deep learning
-
Associate) PhD in smart grids, energy management, or mathematical optimizations (for Research Fellow). The candidates who have submitted the thesis are also encouraged to apply. Background in the application
-
uses. To investigate feature-level just-noticeable difference modelling for machines to facilitate assessment and optimization. To formulate a comprehensive visual feature codec for machine uses
-
to develop and optimize scalable experimental protocols across diverse material families. This role is part of a multidisciplinary team integrating materials chemistry, machine learning, and autonomous