Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- University of Oslo
- Nature Careers
- Singapore Institute of Technology
- University of Cincinnati
- City of Hope
- University of South-Eastern Norway
- Harvard University
- Northeastern University
- RMIT University
- University of New South Wales
- University of Stavanger
- ;
- Liverpool John Moores University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Bergen
- University of Michigan
- AbbVie
- Brunel University
- CRANFIELD UNIVERSITY
- Emory University
- Federation University Australia
- Georgetown University
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- King Abdullah University of Science and Technology
- LINGNAN UNIVERSITY
- Macquarie University
- Manchester Metropolitan University
- Miami University
- Montana State University
- Oak Ridge National Laboratory
- SciLifeLab
- Swansea University
- UNIVERSITY OF HELSINKI
- University of Adelaide
- University of Birmingham
- University of British Columbia
- University of Canterbury
- University of Inland Norway
- University of Leeds
- University of Liverpool
- University of Michigan - Ann Arbor
- University of Oxford
- University of Salford
- University of Texas at Austin
- University of Waterloo
- Western Norway University of Applied Sciences
- 37 more »
- « less
-
Field
-
invites applicants for four PhD Fellowships in subsurface characterization within geosciences, reservoir engineering, molecular modelling, and machine learning at the Faculty of Science and Technology
-
computational materials science techniques (DFT, MD, machine learning force field modelling) with data-driven approaches. Work with team to design and implement high-throughput experimental workflows for rapid
-
, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
-
for manufacturing operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in
-
-driven organization where we are committed to student success and positively transforming the community through scholarship and service. We thrive on innovation, making an impact, and fostering
-
PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and
-
PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and
-
an emphasis on technology, data science and the humanities. We are looking for a Research Fellow to conduct AI for medicine research. The role will focus on developing foundation models to medical image
-
to create new designs that optimize water yield. The project aspires to elucidate the physics governing droplet impact and wetting on fibrous networks in order to enhance fog net technology. The planned work
-
frameworks, such as PyTorch (preferred) or TensorFlow, with a preference for experience implementing SOTA models and training procedures from academic journal papers. Development of data engineering pipelines