Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oslo
- University of Bergen
- Zintellect
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Łukasiewicz PORT
- Center for Drug Evaluation and Research (CDER)
- NTNU - Norwegian University of Science and Technology
- Nanyang Technological University
- UNIVERSITY OF SURREY
- Center for Devices and Radiological Health (CDRH)
- City of Hope
- Cornell University
- LIVERPOOL JOHN MOORES UNIVERSITY
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- UiT The Arctic University of Norway
- Université Gustave Eiffel
- ADELAIDE UNIVERSITY
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Barnard College
- Centre for Genomic Regulation
- Centre for Genomic Regulation (CRG)
- European Space Agency
- FCiências.ID
- Humboldt-Universität zu Berlin
- Manchester Metropolitan University
- NTNU Norwegian University of Science and Technology
- Rutgers University
- THE UNIVERSITY OF HONG KONG
- UNIVERSITY OF SOUTHAMPTON
- University College Dublin
- University of California, San Diego
- University of Idaho
- University of Manchester
- University of Nottingham
- University of Southampton;
- University of Southern Denmark
- University of Surrey
- University of Warwick;
- 28 more »
- « less
-
Field
-
collaboration with IHL and an industry partner. where you will be part of the research team to develop and demonstrate Building-to-Grid Integration through Intelligent Optimization and Predictive Control at SIT’s
-
predictive modeling and validation techniques. Research & Publication: Skilled at critically reviewing literature, designing rigorous studies, and producing publications for high-impact journals. Collaboration
-
predictive modeling and validation techniques. Research & Publication: Skilled at critically reviewing literature, designing rigorous studies, and producing publications for high-impact journals. Collaboration
-
team designs and carries out controlled experiments and develops, validates, and applies advanced mathematical models to investigate a wide range of agricultural challenges, including the impacts
-
laser experimentation to study and control complex nonlinear dynamics. Key Responsibilities: Develop and implement Physics-Informed Neural Network (PINN) models to simulate, predict, and analyze complex
-
. This role is ideally suited to a researcher with experience in computational structural biology, glycobiology, or protein modelling, who is interested in applying AI-enabled structural prediction and glycan
-
. Quantitative Analysis: Demonstrated ability to handle multimodal datasets, conduct statistical analysis, and apply predictive modeling and validation techniques. Research & Publication: Skilled at critically
-
of pharmaceutical formulation and manufacturing processes. The role The post holder will develop and implement mechanistic models to analyse and predict the behaviour of pharmaceutical processes. Your work will
-
other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases
-
, predictive synthesis optimization, and high-throughput data analysis. Develop novel synthetic methodologies and characterization approaches for advanced nanomaterials, leading to high-impact publications and