Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Denmark
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Rutgers University
- CNRS
- The Ohio State University
- Institut Pasteur
- NEW YORK UNIVERSITY ABU DHABI
- National Aeronautics and Space Administration (NASA)
- Aarhus University
- Argonne
- Leibniz
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Stanford University
- University of Groningen
- University of North Carolina at Chapel Hill
- University of Oslo
- University of Oxford
- University of South Carolina
- VIB
- ;
- ASNR
- Aalborg University
- Baylor College of Medicine
- CWI
- Copenhagen Business School , CBS
- Duke University
- Eindhoven University of Technology (TU/e)
- Embry-Riddle Aeronautical University
- FAPESP - São Paulo Research Foundation
- Faroe Marine Research Institutes
- Forschungszentrum Jülich
- Genentech
- George Washington University
- Imperial College London
- Laboratoire d'Astrophysique de Marseille
- Lulea University of Technology
- Luleå University of Technology
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Maynooth University
- New York University
- Oak Ridge National Laboratory
- Pennsylvania State University
- RIKEN
- Technical University Of Denmark
- Technical University of Munich
- Texas A&M University
- The University of Arizona
- The University of Iowa
- Umeå University
- University College Cork
- University of California Irvine
- University of London
- University of Lund
- University of Reading
- University of Turku
- University of Twente
- University of Virginia
- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
- Virginia Tech
- 51 more »
- « less
-
Field
-
Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming tools such as R packages, Phyton, and other programming languages Publications in the field Excellent
-
The INFINITY project aims to advance wave energy in Europe by developing a more efficient, reliable Power Take Off (PTO) system and control technology. Building on past projects, it focuses
-
predictability and interaction with climate. Here we explore a new paradigm in which polar dynamics is typically dominated by vortices interacting across a broad range of scales, contrasting the dominance of wave
-
nonlinearities, reinforcement learning for predictive control, and digital twins to bridge simulation and real-world deployment. The next step is on-sky demonstration, supported by access to telecom and astronomy
-
by retinal damage alone. Instead it is likely that microstructural damage in the brain as well as the eye contribute. Since early risk prediction and timely intervention can mitigate vision loss, it is
-
here is the prediction of the composition of communities of marine entities (zooplankton, marine snow particles, and coral reef fishes) from environmental data taken around the point of the biological
-
predictive modelling Development of model predictive control algorithms for energy-efficient and flexible building Contribution to prescriptive maintenance strategies and user-centric digital interfaces
-
of the variability and uncertainty of simulated outputs • an explicit quantification of prediction error • an interpretable and controllable structure (e.g., Gaussian processes, …) 2. Model industrial system
-
deeper understanding of the complex relationship between climate controls (i.e. modes of variability) and extreme ocean temperature events such as MHWs, which is essential for predicting future climate
-
Machine Learning models for quality prediction and control of phosphate ore. Simulating and evaluating various extraction scenarios, considering industrial constraints. Collaborating closely with field and