Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- University of Oslo
- ;
- Harvard University
- University of Bergen
- Nature Careers
- Zintellect
- National University of Singapore
- University of British Columbia
- University of South-Eastern Norway
- Indiana University
- Singapore Institute of Technology
- University of Birmingham
- University of Michigan
- AbbVie
- Hong Kong Polytechnic University
- Johns Hopkins University
- The University of Queensland
- University of Cincinnati
- Bowdoin College
- Northeastern University
- University of Texas at Austin
- Australian National University
- Carnegie Mellon University
- City of Hope
- Genentech
- King Abdullah University of Science and Technology
- King's College London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Monash University
- Simons Foundation
- The University of Alabama
- UNIVERSITY OF SOUTHAMPTON
- University of Nottingham
- Western Norway University of Applied Sciences
- CRANFIELD UNIVERSITY
- Colorado State University
- Curtin University
- George Mason University
- Georgetown University
- Humboldt-Stiftung Foundation
- KINGS COLLEGE LONDON
- Montana State University
- New York University
- Open Society Foundations
- RMIT University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- SciLifeLab
- Simons Foundation/Flatiron Institute
- The University of Memphis
- The University of Southampton
- Trinity College Dublin
- UiT The Arctic University of Norway
- University of Adelaide
- University of Bristol
- University of Melbourne
- University of Michigan - Ann Arbor
- University of New South Wales
- University of North Carolina at Charlotte
- University of South Carolina
- University of Stavanger
- University of Texas Rio Grande Valley
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- American University
- Auburn University
- Boston College
- Central Michigan University
- Chippewa Valley Technical College
- Cranfield University
- Dana-Farber Cancer Institute
- Emory University
- Florida Atlantic University
- Imperial College London
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- James Madison University
- KEK
- LINGNAN UNIVERSITY
- Manchester Metropolitan University
- Marquette University
- Miami University
- NORDITA-Nordic Institute for Theoretical Physics
- NTNU - Norwegian University of Science and Technology
- Purdue University
- RMIT UNIVERSITY
- Ryerson University
- School of Sciences
- Stanford University
- The University of Western Australia
- Tufts University
- UNIVERSITY OF HELSINKI
- University of Alabama, Tuscaloosa
- University of Canterbury
- University of Inland Norway
- University of Kansas Medical Center
- University of Liverpool
- University of Manchester
- University of Maryland
- University of Maryland, Baltimore
- University of Salford
- University of Saskatchewan
- 90 more »
- « less
-
Field
-
: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
-
leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning models—expressivity
-
key properties of quantum machine learning models—expressivity, generalization, and adversarial robustness, and the inter-play between them. These foundational insights will guide the design of novel
-
projects on metabolic diseases * Develop and apply machine learning models for biomarker discovery, patient stratification, and prediction of disease trajectories * Collaborate with clinicians
-
integration Key areas: § Metagenomic and 16S rRNA sequencing analysis § Single-cell RNA-seq and proteomic/metabolomic data integration § Machine learning and AI applications in microbiome data
-
machine learning models with respect to accuracy and uncertainty quantification. - Developing software to implement the goals stated above (most likely in Python). - Disseminating results
-
testing data Development of machine learning models for battery health assessment and remaining useful life prediction Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert
-
can be leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning models
-
UKESM1 or similar models, advanced data analysis and machine learning, would be advantageous. Grade E: You will be near completion of a relevant PhD or have equivalent research experience, and be able
-
learning to model solid-state materials while collaborating with experimentalists. Qualifications • Ph.D. in Computational Physics/Materials Science, or related field (completed by start date