Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nanyang Technological University
- ;
- University of Oslo
- National University of Singapore
- Nature Careers
- University of Bergen
- University of British Columbia
- Harvard University
- Singapore Institute of Technology
- University of Birmingham
- University of South-Eastern Norway
- Imperial College London
- Indiana University
- AbbVie
- Monash University
- The University of Alabama
- KINGS COLLEGE LONDON
- King's College London
- Northeastern University
- The University of Queensland
- UNIVERSITY OF SOUTHAMPTON
- University of Michigan
- University of New South Wales
- Zintellect
- Genentech
- Johns Hopkins University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Queen's University Belfast
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UiT The Arctic University of Norway
- University of Adelaide
- University of Alabama, Tuscaloosa
- University of Cincinnati
- University of Nottingham
- University of Texas at Austin
- University of Waterloo
- Western Norway University of Applied Sciences
- Binghamton University
- CRANFIELD UNIVERSITY
- Carnegie Mellon University
- Central Michigan University
- Curtin University
- NTNU - Norwegian University of Science and Technology
- RMIT University
- Saint Louis University
- Simons Foundation
- The University of Southampton
- University of Cambridge
- University of Melbourne
- University of North Carolina at Charlotte
- University of Rhode Island
- ; Maastricht University
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- American University
- Arizona State University
- Auburn University
- Australian National University
- Birmingham City University
- City of Hope
- Colorado State University
- Cornell University
- Cranfield University
- Deakin University
- Emory University
- George Mason University
- Hong Kong Polytechnic University
- Humboldt-Stiftung Foundation
- James Madison University
- LINGNAN UNIVERSITY
- La Trobe University
- Macquarie University
- Manchester Metropolitan University
- Marquette University
- Montana State University
- National Renewable Energy Laboratory NREL
- QUEENS UNIVERSITY BELFAST
- RMIT UNIVERSITY
- Ryerson University
- SUNY University at Buffalo
- School of Sciences
- Singapore University of Technology & Design
- Stanford University
- The University of Western Australia
- Trinity College Dublin
- University of Agder
- University of Canterbury
- University of Inland Norway
- University of Kansas Medical Center
- University of Leeds
- University of Liverpool
- University of London
- University of Manchester
- University of Maryland
- University of Michigan - Ann Arbor
- University of Otago
- University of Oxford
- University of Sheffield
- University of South Carolina
- University of Stirling
- 89 more »
- « less
-
Field
-
, and may utilise iterative algorithms, machine learning and high-performance computing. Through the Monash Centre for Electron Microscopy, opportunities exist to acquire large experimental datasets using
-
of publications. Criteria Essential or desirable Stage(s) assessed at A PhD (or close to completion of a PhD) in Machine Learning or a similar area (e.g. in Computer Science, Electrical and Electronic Engineering
-
/or machine learning methods, and an interest in applying these tools to urban and housing policy questions. The Fellow should demonstrate potential for producing high-quality research and a strong
-
Educational Technology in the School of Computer and Mathematical Sciences. The successful candidate will be a researcher in the use of technology to support cognitive and meta-cognitive skills of students
-
collaborative, impact-focused problem solver who wants to be part of a dynamic team. Information about the Shih Lab: Learn more about the innovative work led by Dr. William Shih here: https
-
power electronics Machine learning Renewable energy systems Advanced statistics Language requirement: Good oral and written communication skills in English English requirements for applicants from outside
-
University's Faculty of Arts and Sciences to study spatial and temporal aspects of interaction patterns in biological systems. We are looking for exceptional candidates with background in machine learning and
-
spatial transcriptomics and imaging genomics projects, integrating bulk and single-cell RNA-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological
-
diffusion models using path integral formulations. This project aims to advance quantum machine learning by: Designing a quantum counterpart of diffusion models; Leveraging path integral methods to model
-
spatial transcriptomics and imaging genomics projects, integrating bulk and single-cell RNA-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological