Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- University of Oslo
- ;
- Harvard University
- University of Bergen
- Zintellect
- University of British Columbia
- National University of Singapore
- Nature Careers
- Singapore Institute of Technology
- University of Birmingham
- University of South-Eastern Norway
- Indiana University
- University of Michigan
- AbbVie
- Bowdoin College
- Hong Kong Polytechnic University
- Northeastern University
- The University of Queensland
- University of Cincinnati
- University of Texas at Austin
- Australian National University
- Carnegie Mellon University
- City of Hope
- Genentech
- Johns Hopkins University
- KINGS COLLEGE LONDON
- King Abdullah University of Science and Technology
- King's College London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Monash University
- Simons Foundation
- University of Nottingham
- Western Norway University of Applied Sciences
- CRANFIELD UNIVERSITY
- Colorado State University
- Curtin University
- George Mason University
- Georgetown University
- Montana State University
- New York University
- Open Society Foundations
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- SciLifeLab
- Simons Foundation/Flatiron Institute
- The University of Memphis
- Trinity College Dublin
- UNIVERSITY OF MELBOURNE
- UiT The Arctic University of Norway
- University of Adelaide
- University of Alabama, Tuscaloosa
- University of Leeds
- University of Melbourne
- University of Michigan - Ann Arbor
- University of New South Wales
- University of North Carolina at Charlotte
- University of Texas Rio Grande Valley
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- American University
- Arizona State University
- Auburn University
- BNU-HKBU United International College
- Boston College
- Central Michigan University
- Chippewa Valley Technical College
- Dalhousie University
- Dana-Farber Cancer Institute
- ETH Zurich
- Emory University
- Florida Atlantic University
- Hiroshima University
- Humboldt-Stiftung Foundation
- Imperial College London
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- James Madison University
- KEK
- Manchester Metropolitan University
- Marquette University
- Miami University
- NORDITA-Nordic Institute for Theoretical Physics
- NTNU - Norwegian University of Science and Technology
- Purdue University
- Queen's University Belfast
- RMIT University
- Ryerson University
- School of Sciences
- Stanford University
- The University of Alabama
- The University of Western Australia
- Tufts University
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- University of Bristol
- University of Canterbury
- University of Inland Norway
- University of Kansas Medical Center
- University of Liverpool
- University of Manchester
- University of Maryland
- 90 more »
- « less
-
Field
-
. The postdoctoral fellow will lead efforts to develop novel machine learning models for integrating omics datasets (e.g., genomic, transcriptomic, epigenomic, proteomic, metabolomic) with relevant molecular pathways
-
postdoctoral fellow, committed to advancing inclusive and interdisciplinary science, to join an international team applying state-of-the-art machine learning technologies to stem cell and immune engineering in
-
of the following areas is an advantage: Modelling and simulations of flow in porous media. Programming, image processing and machine learning Personal and relational qualities will be emphasized. Motivation
-
the software quality certification/robustness to cyber disturbances, cyber-attacks, on federated/distributed EC environment. Identify quality issues with AI models implementation on edge and on offering
-
with machine learning techniques for robotic decision-making and intelligent control for tasks with high uncertainties. Experience with research on multi-agent collaboration and decentralized control
-
time role, 0.1FTE. The activities of this role will support development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning
-
well as in a collaborative, team-oriented environment. Preferred Qualifications: Prior experience working with mouse models of cancer is strongly preferred; candidates without prior experience will be
-
learning techniques to enhance the predictive model for protein adsorption. Collaborate effectively with cross-functional teams comprising experts in AI/ML, computational modeling, structural biology
-
machine learning Personal and relational qualities will be emphasized. Motivation, ambitions and potential will also count when evaluating the candidates. Special requirements for the position
-
to NEWRI’s AI modelling and optimization research for sustainable and resilient operations of water systems. Key Responsibilities: Conduct high-quality research on machine learning modelling, soft sensing, and