Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Northeastern University
- University of New South Wales
- Aarhus University
- CNRS
- Delft University of Technology (TU Delft)
- European Space Agency
- Fondazione Bruno Kessler
- Indiana University
- Itä-Suomen yliopisto
- Leibniz
- National Aeronautics and Space Administration (NASA)
- Technical University of Munich
- Universitat Autònoma de Barcelona
- University of California San Diego
- University of Luxembourg
- University of Utah
- University of Washington
- 8 more »
- « less
-
Field
-
Services (IPCEI-CIS) , bringing together 12 EU member states and about 120 industrial and research partners to drive Europe’s digital sovereignty. The main goal of IPCEI-CIS is to establish a "Multi
-
for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
-
, multi-object tracking, time-series prediction, anomaly detection). · Proficiency in programming (Python required; R/Julia or others a plus) and experience with data engineering tools (SQL, cloud
-
codes, finite element or finite different methods, peridynamics, phase field models, multi-objective optimisation methods, CAD. Demonstrated ability to adapt to fast-changing project direction and learn
-
requirements definition, CAD/FEA modelling, multi-objective optimisation (e.g., DOE/GA/surrogates), prototype build, and laboratory validation. Track record of peer-reviewed publications (e.g., IEEE and IET
-
occurs via small-scale extreme events that propagate to large scale. A detailed check of this hypothesis thus requires multi scale tools and dedicated experimental setups as well as the development
-
at the academic-industry interface. Key Responsibilities Lead and manage multi-disciplinary academic-industry collaborative research projects in pharmaceutical sciences, with a focus on drug development, delivery
-
programs that enhance the university's mission of fostering innovation at the academic-industry interface. Key Responsibilities Lead and manage multi-disciplinary academic-industry collaborative research
-
, remote object ranging and tracking in LEO constellations, and monostatic and bistatic SAR imaging using communication waveforms Design and evaluate self-interference cancellation (analog/digital) and
-
the following field: Circuit-Based Model Systems of Anhedonia If you hold a PhD or master’s degree with an outstanding track record or strong interest in this field, we invite you to apply with a project proposal