Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oslo
- Nanyang Technological University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Harvard University
- LIVERPOOL JOHN MOORES UNIVERSITY
- City of Hope
- Cornell University
- LINGNAN UNIVERSITY
- Indiana University
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Northeastern University
- UiT The Arctic University of Norway
- University of Bergen
- University of British Columbia
- ADELAIDE UNIVERSITY
- AbbVie
- Barcelona Beta Brain Research Center
- IRB Barcelona
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Johns Hopkins University
- Macquarie University
- Missouri University of Science and Technology
- Nature Careers
- Oak Ridge National Laboratory
- Paul Scherrer Institut Villigen
- SciLifeLab
- Singapore University of Technology & Design
- UCL;
- University of California, San Diego
- University of Dundee
- University of New South Wales
- University of Southern Denmark
- Université Gustave Eiffel
- Vrije Universiteit Brussel
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- 25 more »
- « less
-
Field
-
Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 34 minutes ago
wording published by Decree-Law No. 123/2019 of August 28; Regulation of Research Grants of the Foundation for Science and Technology, I.P. in force (Regulation No. 950 / 2019 of 16 December https
-
qualifications (required at time of application) Doctoral degree in engineering, oceanography or a related field, with relevant background in data-driven modeling, machine learning and/or fluid mechanics
-
. This includes exploring the use of digital twins for bioreactors and deploying AI driven predictive models to improve optimisation, consistency and overall yield. The main focus for this role is to work with the
-
-related challenges in maritime transportation systems; 2) supporting the development and application of quantitative and data-driven models for assessing and predicting risks and system performance; and 3
-
publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal communication and oral presentation skills in English Self-driven and strong team spirit Open
-
exploring multi-functional and sustainable polymers for additive manufacturing in robotics. SUME (https://www.vubtechtransfer.be/sustainable-materials-technology ), is the sustainable materials engineering
-
flexible role not tied to any single predefined project. The successful candidate will contribute to a range of modelling-driven projects that tackle key questions in cancer biology, such as understanding
-
impactful, application-driven research. This position supports a strategic research project on full electric harbour craft microgrid modelling, onboard energy management systems (EMS), and hardware-in
-
. Experience with AI/ML algorithms and prediction model development. Familiarity with data structures, algorithms, software engineering best practices, and computational efficiency is highly desirable
-
PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
data-driven modeling, parameter estimation, or model calibration Familiarity with high-performance computing or large-scale simulations Interest in close collaboration with experimental researchers