Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- ;
- Nature Careers
- National University of Singapore
- KINGS COLLEGE LONDON
- King's College London
- UiT The Arctic University of Norway
- AbbVie
- University of Birmingham
- University of Oslo
- Monash University
- Singapore Institute of Technology
- The University of Queensland
- University of Alabama, Tuscaloosa
- University of New South Wales
- CRANFIELD UNIVERSITY
- Curtin University
- Harvard University
- Northeastern University
- Simons Foundation
- University of Bergen
- University of British Columbia
- University of Cambridge
- University of Michigan
- University of Stavanger
- Western Norway University of Applied Sciences
- Zintellect
- ; King's College London
- Arizona State University
- Central Michigan University
- Colorado State University
- Cornell University
- Cranfield University
- George Mason University
- Humboldt-Stiftung Foundation
- Imperial College London
- Johns Hopkins University
- LINGNAN UNIVERSITY
- Manchester Metropolitan University
- Marquette University
- NTNU - Norwegian University of Science and Technology
- QUEENS UNIVERSITY BELFAST
- RMIT University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Stanford University
- The University of Alabama
- The University of Southampton
- The University of Western Australia
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- University of Adelaide
- University of Agder
- University of Leeds
- University of Liverpool
- University of Melbourne
- University of South-Eastern Norway
- University of Stirling
- University of Surrey
- University of Texas at Austin
- University of Waterloo
- 50 more »
- « less
-
Field
-
processing would be an advantage. Proficiency in statistical software (e.g., R, Python, SAS, or Stata). Experience with clinical informatics approaches (e.g., cluster analysis, machine learning, Bayesian
-
the University's research culture and collaborative profile. Qualifications: PhD in Computer Science/AI or a closely related field. Extensive research experience in machine learning, deep learning, and self
-
be in close collaboration with experimental and clinical collaborators and will provide resources for large-scale data generation and full access to the latest long read sequencing technologies
-
. The HDL and SPKI research groups are part of the Centre of Research-based Innovation SFI Visual Intelligence that is a center-of excellence in machine learning research. The research groups are also active
-
-atomic potentials using a combination of classical and machine-learning (ML) approaches (and a new hybrid method recently developed in our group). Some of the types of simulations that will be performed
-
the financial sector and the economy at large. This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and
-
in this position will conduct/lead applied as well as fundamental research in physics-informed Artificial Intelligence (AI) and Machine Learning (ML) methodologies enabling digital twin functionalities
-
may include but are not limited to: algorithm and software development; application or development of computational or statistical methods; data analysis; modeling; statistics and machine learning
-
motion capture systems and wearable sensors Engage with large-scale, longitudinal analyses of biomechanical data following limb trauma and amputation in the military Participate in efforts to develop novel
-
the last 5 years or soon to be completed. Demonstrated experience in building machine learning/deep learning models using one or more large scientific data sets involving sequence, protein structures