Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Netherlands
- United Kingdom
- Germany
- Sweden
- Denmark
- Norway
- France
- Spain
- Belgium
- Portugal
- Finland
- Poland
- Singapore
- Estonia
- Austria
- Morocco
- Australia
- Czech
- Italy
- Romania
- United Arab Emirates
- Vietnam
- Canada
- Japan
- Switzerland
- Cyprus
- Hong Kong
- Ireland
- Israel
- Luxembourg
- New Zealand
- Slovenia
- Taiwan
- Ukraine
- 25 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Electrical Engineering
- Materials Science
- Science
- Mathematics
- Biology
- Chemistry
- Earth Sciences
- Environment
- Humanities
- Business
- Education
- Linguistics
- Social Sciences
- Arts and Literature
- Design
- Law
- Philosophy
- Physics
- Psychology
- Sports and Recreation
- 14 more »
- « less
-
are reviewed regularly and are subject to change. To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Boston-MA-Main-Campus/Open-Rank--Professor--Associate-or-Assistant--AI--Sensors--and
-
. These modules, often based on deep neural networks, are sensitive to both accidental faults and intentional attacks [1]-[5] that can alter their decisions. Ensuring their robustness under real-world conditions is
-
methods. Supported by the Marie Skłodowska-Curie Actions programme, the ElectronsMatter network is addressing this challenge through Electron Beam Powder Bed Fusion (EB-PBF), a cutting-edge Additive
-
Distributed radar systems comprise a coherent network of spatially distributed sensors that can be independently transmitting, receiving, or both. By acting in unison, rather than in isolation
-
Technologies Initiative (https://wirelesspower.ieee.org/ ). This project is characterized by a strong multidisciplinarity, with applications in the field of IoT. You will work on electronics, wireless
-
(LMFL). Opportunity to work in an interdisciplinary environment combining micro-sensor technology, aerodynamics, and instrumentation. Networking: Integration into the FR TTM CNRS research federation and
-
This is a four-year (1+3 MRes/PhD) studentship funded through the Cambridge EPSRC Centre for Doctoral Training in Future Infrastructure and Built Environment: Unlocking Net Zero (FIBE3 CDT). Further
-
decision-making. Examples include crowd management and large-scale communication networks based on cellular or wireless sensors. For instance, during mass gatherings such as the sport matches (e.g
-
team also has experience with multi-sensor systems including lidar, inertial sensing within the context of real-time SLAM and autonomous exploration. The researcher will have the opportunity to establish
-
–robot interaction and ergonomics Automation and robotised workplaces (industry use-cases) Field robotics and harsh-environment robotics Predictive maintenance, sensor systems, multimodal monitoring AI/ML