Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- DAAD
- Karlsruhe Institute of Technology (KIT)
- Karlsruher Institut für Technologie (KIT)
- Linköping University
- Technical University of Denmark
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- CNRS
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- GFZ Helmholtz-Zentrum für Geoforschung
- Ghent University
- Graz University of Technology
- King's College London;
- Linköpings universitet
- Monash University
- TU Bergakademie Freiberg
- Technical University of Munich
- The University of Iowa
- University of Bristol
- University of Exeter;
- University of Texas at Austin
- Universität Heidelberg
- 15 more »
- « less
-
Field
-
into the physical world: we are conducting research on physical one-way functions, reproducible physical processes that generate measurable outputs from input parameters, but for which solving the inverse problem is
-
, this is often how the problem is approached. In this project, we aim to build a framework to perform a joint inversion of interior parameters with integrated geophysical observations. This framework will
-
separately provide only a partial picture of the interior. Still, this is often how the problem is approached. In this project, we aim to build a framework to perform a joint inversion of interior parameters
-
. Desirable Qualifications: Experience with cryogenic systems and low-temperature measurements. Knowledge of artificial intelligence (AI) and machine learning (ML) for inverse design of metamaterials. Previous
-
project aims to explore techniques that could facilitate experts in the elicitation of priorities. One possible direction could be to use the technique of Inverse Reinforcement Learning (IRL) [2], [3]. IRL
-
Job Description If you are an ambitious early-career researcher with a passion for nanofabrication and 2D materials, this PhD position offers the chance to shape new frontiers in nanofluidics
-
Your Job: As a PhD candidate you will develop and deploy an artificial intelligence (AI) driven approach to streamline high-throughput experimentation (IMD-3: Institute of Energy Materials and
-
) for people with alcohol and drug dependence. IPS is a psychosocial intervention designed to help individuals obtain and sustain employment in the competitive job market. It is well established in mental and
-
Job Description We invite applications for a 3-year PhD scholarship at DTU Energy. The project will integrate innovative physics-based atomistic modeling methods and data-driven inverse molecular
-
corresponding knowledge in another way. Experience in one or more of the following areas is considered meritorious, Self-supervised learning, image denoising, or inverse problems, Transformer-based architectures