Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Nature Careers
- Aarhus University
- Technical University of Denmark
- European Space Agency
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Delft University of Technology (TU Delft); yesterday published
- Illinois Institute of Technology
- CNRS
- Delft University of Technology (TU Delft); 26 Sep ’25 published
- Emory University
- Fondazione Bruno Kessler
- KTH Royal Institute of Technology
- Leibniz
- Luleå University of Technology
- McGill University
- Technical University of Munich
- The Cyprus Institute
- The University of Arizona
- Universitat Jaume I
- University of Chicago
- University of Colorado
- University of Southern Denmark
- University of Washington
- Université Savoie Mont Blanc
- Vrije Universiteit Brussel
- Wageningen University & Research
- 18 more »
- « less
-
Field
-
: The postdoc will work under the supervision of Prof. Jason M. Harley (supervisor) at McGill University. The position offers a unique postdoctoral training experience and publishing opportunities within a multi
-
methods that selectively stimulate flatfish to emerge from the sediment, facilitating their capture in the net. Together, the two Postdocs will develop prototype fishing systems that integrate detection and
-
. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming
-
. To reach level-4/5 autonomy, we need teamwork: nearby vehicles, drones, and roadside units must co-perceive their environment, sharing and fusing complementary sensor views in real time. Yet raw video
-
spatial variability of soil health. You will be contributing to specifically the area of using proximal and remote sensors, soil physical, chemical and biological data, as well as plant and weather data
-
data, including TPMS (Tire Pressure Monitoring System), high-speed wheel encoders, CAN (Controller Area Network) data, accelerometers, and acoustics data. Understanding of sensor technologies and their
-
over the course of the project. References: - Deneu B et al (2021) Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. PLoS Comput
-
Job Description The Quantum and Nanophotonics Section at DTU Electro is seeking a highly motivated postdoc to be a part of a program on ‘Symmetry-guided discovery of topological photonics’, led by