Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Harvard University
- INESC TEC
- Nature Careers
- Nanyang Technological University
- University of Minho
- University of Oslo
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Simons Foundation/Flatiron Institute
- Cornell University
- UCL;
- University of Stavanger
- INESC ID
- National University of Singapore
- Northeastern University
- Princeton University
- Stanford University
- Universidade de Coimbra
- University of British Columbia
- Vanderbilt University
- LINGNAN UNIVERSITY
- NTNU Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- Universidade de Aveiro
- University of Alabama, Tuscaloosa
- University of North Carolina at Chapel Hill
- Basque Center for Macromolecular Design and Engineering POLYMAT Fundazioa
- Boston College
- Curtin University
- Dana-Farber Cancer Institute
- Imperial College London
- Indiana University
- Johns Hopkins University
- King Abdullah University of Science and Technology
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- New York University
- The University of Memphis
- University of Arkansas
- University of Leeds
- University of Michigan - Ann Arbor
- University of Nottingham
- University of Texas at Austin
- ;
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- AbbVie
- Academia Sinica
- American University
- Argonne
- Associação Universidade-Empresa para o Desenvolvimento - TecMinho
- BARCELONA SUPERCOMPUTING CENTER
- Barcelona Beta Brain Research Center
- Basque Center for Macromolecular Design and Engineering, POLYMAT Fundazioa
- Carnegie Mellon University
- City of Hope
- Colorado State University
- Duke University
- Genentech
- Hiroshima University
- Hobart and William Smith Colleges
- INSTITUT D'INVESTIGACIO SANITARIA PERE VIRGILI
- IRB Barcelona
- Insper
- Instituto Politécnico de Coimbra
- Instituto de Telecomunicações
- KEK
- KINGS COLLEGE LONDON
- Loyola University
- Macquarie University
- Massachusetts Institute of Technology
- Montana State University
- NORDITA-Nordic Institute for Theoretical Physics
- NORTHUMBRIA UNIVERSITY
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- Northumbria University
- OCAD University
- Oak Ridge National Laboratory
- Plymouth University
- RCSI - Royal College of Surgeons in Ireland
- RMIT University
- School of Sciences
- Stockholms universitet
- The University of Alabama
- The University of Arizona
- UNIVERSITY OF ADELAIDE
- UNIVERSITY OF SOUTHAMPTON
- Universitat Ramon Llull Fundació
- University College Dublin
- University of Adelaide
- University of Algarve
- University of Bergen
- University of Birmingham
- University of Bristol
- University of Bristol;
- University of California Los Angeles
- University of California, Los Angeles
- University of Colorado
- University of Dundee
- University of Leeds;
- University of Michigan
- University of Sheffield
- University of South Carolina
- 90 more »
- « less
-
Field
-
applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital
-
mathematics, Earth science, or a related discipline Skills in numerical modelling, programming, and handling large datasets Prior experience in machine learning is desirable Interest in nonlinear dynamics and
-
years and in the relevant areas of Machine Learning / Artificial Intelligence, Credit Risk Modeling and Operations Optimization Modeling; The candidate must have strong programming skills in Python, and
-
for collaboration. You will also have the opportunity to develop your own research project aligned to the interests of the MND group. This could include new machine learning models or exploring a particular aspect of
-
Engineering, or related field. Research experience with Artificial Intelligence/Machine Learning/Large Language Model. Publication track record in a series of top tier conference papers e..g, in NeuRIPS, ICLR
-
manufacturing principles. Experience with machine learning methods and integration into hybrid modelling systems Demonstrated ability to clearly communicate research concepts and results in high-quality journal
-
(PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. Place of work is the Department of Mathematics, Blindern
-
factors. Though not required, we are particularly interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and
-
assimilation, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and testing statistical models for the accurate forecasting
-
, applied mathematics, or a related quantitative field. • Strong foundation in probability, statistical modeling, and AI/machine learning. • Demonstrated interest in at least one of: causal inference