Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Nature Careers
- Aarhus University
- Technical University of Denmark
- European Space Agency
- Carnegie Mellon University
- Empa
- Heriot Watt University
- NEW YORK UNIVERSITY ABU DHABI
- Rutgers University
- Technical University of Munich
- University of Oxford
- ;
- AALTO UNIVERSITY
- CNRS
- DURHAM UNIVERSITY
- Durham University
- Emory University
- Fondazione Bruno Kessler
- Georgetown University
- Harvard University
- Illinois Institute of Technology
- Leibniz
- Lulea University of Technology
- Luleå University of Technology
- McGill University
- National Aeronautics and Space Administration (NASA)
- Texas A&M AgriLife
- Texas A&M University
- The University of Arizona
- Umeå University
- Universitat Jaume I
- University of California, Merced
- University of Chicago
- University of Colorado
- University of Delaware
- University of Maryland
- University of Minnesota
- University of Minnesota Twin Cities
- University of Oulu
- University of Washington
- Université Savoie Mont Blanc
- Vrije Universiteit Brussel
- Wageningen University & Research
- 36 more »
- « less
-
Field
-
place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans. Analyzes complex sensor data, works with a multidisciplinary team to develop health digital
-
fabrication of bioelectrical platforms with clinical translation as the ultimate goal. Using unique bioelectrical (physical and chemical) sensors and actuators will allow us to tackle grand biomedical
-
aims at addressing computational challenges associated with data acquisition and information extraction from complex sensors and sensor networks. Crucially, uncertainty management and quantification
-
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
-
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
-
global medical challenges. A postdoctoral position is available immediately for applicants interested in developing novel wearable optical sensors for applications in maternal health. The goals
-
. 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
-
system, and (2) a validated prototype of a multi-channel detection system for fish entering the net. The focus will be on implementing fish detection by combining measurements of time- and position
-
collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in
-
project aims to address the current limitations of traditional frame-based sensors and associated processing pipelines with a new family of algorithmic architectures that mimic more closely the behaviours