Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Nanyang Technological University
- National University of Singapore
- University of Oslo
- Harvard University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Bergen
- INESC TEC
- Center for Devices and Radiological Health (CDRH)
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Hong Kong Polytechnic University
- University of Nottingham
- Center for Drug Evaluation and Research (CDER)
- City of Hope
- Dana-Farber Cancer Institute (DFCI)
- Singapore University of Technology & Design
- Universidade do Minho
- Zintellect
- CRANFIELD UNIVERSITY
- Carnegie Mellon University
- INESC ID
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Johns Hopkins University
- Monash University
- Northeastern University
- Simons Foundation;
- Tampere University
- Trinity College Dublin
- UiT The Arctic University of Norway
- Universidade de Coimbra
- University of Agder
- University of Beira Interior
- University of Birmingham
- University of California
- University of Maryland, Baltimore
- University of Michigan
- University of New South Wales
- University of South-Eastern Norway
- AALTO UNIVERSITY
- Brunel University London;
- Cranfield University
- Dalhousie University
- FEUP
- Fields Institute
- Florida Atlantic University
- Georgia Southern University
- Hanyang University
- Imperial College London
- Indiana University
- Institute for Basic Science
- Instituto de Telecomunicações
- King Abdullah University of Science and Technology
- King's College London
- Lawrence Berkeley National Laboratory
- Marquette University
- Max Planck Institute of Biochemistry, Martinsried
- NTNU Norwegian University of Science and Technology
- National Center for Toxicological Research (NCTR)
- Nottingham Trent University;
- Queen's University Belfast
- RMIT University
- Ryerson University
- Seoul National University
- Shanghai Jiao Tong University
- Simons Foundation/Flatiron Institute
- St Jude Children's Research Hospital
- The University of Queensland
- The University of Tokyo
- Tokyo University of Science
- UCL EE
- UCL;
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- University of Algarve
- University of Colorado
- University of Exeter;
- University of Leeds
- University of Liverpool
- University of Michigan - Flint
- University of North Carolina at Chapel Hill
- University of North Carolina at Charlotte
- University of Otago
- University of Rochester
- University of Stavanger
- University of Sydney
- University of Texas at Austin
- University of Waterloo
- University of the West of England
- 76 more »
- « less
-
Field
-
. Utilize machine-learning and data-mining approaches to recommend bioengineering interventions. Develop new machine-learning algorithms. Integrate machine learning techniques with mechanistic modeling
-
optimisation, algorithm design and high-performance computing, with application to airport innovation. Successful candidates will join an active group of Principal Investigators and researchers to work within
-
: • Develop real-time optimization algorithms; • Model multi-vector energy-water-hydrogen systems; • Support the development of digital twins; • Test the algorithms using operational data; • Prepare a technical
-
of detailed protocols including operational definitions, data dictionaries and ICD/CPT codes used for algorithms; will be responsible for making statistical analyses code publicly available on GitHub ensuring
-
novel algorithms and methodologies for defect detection, classification, and failure analysis. c. Supervise and mentor junior researchers and graduate students in related research activities. 2. System
-
language models, multimodal generative AI, and related areas. Develop algorithms, architectures, and training methods for world models, LLMs, and multimodal AI systems. Design methods for prediction
-
processing pipelines, and exploration of algorithmic approaches that can be integrated with detector readout and acquisition architectures for enhanced system-level performance. Operating and maintaining
-
developing/adapting computational models or algorithms to analyse biological data, and experience with single cell or spatial omics datasets or knowledge of cancer biology would be an advantage. What we offer
-
collaboration that uses AI algorithms to recommend and coordinate experiments across distributed laboratories. Your work will focus on the synthesis and characterisation of AI-recommended conjugated materials
-
system model new module integration, scenario simulations, and prognostics analyses Physics-informed deep learning/hybrid modeling/reasoning AI algorithm development and optimization Job Requirements: A