Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Portugal
- Sweden
- Germany
- Netherlands
- France
- Spain
- Italy
- Singapore
- Norway
- Belgium
- Denmark
- Poland
- Hong Kong
- Japan
- Canada
- Australia
- Ireland
- Romania
- United Arab Emirates
- Austria
- Czech
- Estonia
- Lithuania
- Morocco
- Switzerland
- China
- Finland
- Luxembourg
- Saudi Arabia
- Brazil
- Cyprus
- Malta
- Vietnam
- Croatia
- Europe
- Greece
- Israel
- Mexico
- Slovenia
- 31 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Science
- Materials Science
- Mathematics
- Chemistry
- Earth Sciences
- Electrical Engineering
- Environment
- Education
- Business
- Humanities
- Linguistics
- Arts and Literature
- Psychology
- Sports and Recreation
- Physics
- Social Sciences
- Law
- 12 more »
- « less
-
team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/erapid-multiplexed-electrochemical-sensors-for-fast-accurate-portable-diagnostics/. What you’ll
-
, G. et al. Machine learning and wearable sensors for automated Parkinson’s disease diagnosis aid: a systematic review. J Neurol 271, 6452–6470 (2024). https://doi.org/10.1007/s00415-024-12611-x Nayan
-
processes, targeting annual savings of £280,000. Responsibilities include creating and refining models to predict particle behaviour, calibrating them to 95% accuracy, and establishing sensor systems for real
-
of critical infrastructure. In particular, the successful candidates will develop new sensor systems, customised for monitoring a network of civil infrastructure, specifically, bridges. About the person
-
with other project partners. Climate will be measured with sensors and weather station data. The researcher derives the effects of production system characteristics on endoparasite infections, analyzed with
-
geometries and process-induced defects demand new inspection approaches. The project combines modelling, sensor fabrication, experiment, and data analysis. You will work with a team of experts to develop
-
, with subjects for doctoral theses in experimental and theoretical particle and astroparticle physics as well as engineering, in particular in the areas of electronics, detector instrumentation, sensor
-
wavefront sensing approaches (Pair-Wise Probing, Self-Coherent Camera, Zernike Sensor) and CFA detectors. This research work will aim to find the most suitable configurations for simultaneous wavefront error
-
studies according to the field. Possible research directions include: Development and implementation of digital twins, real-time sensor systems, and AI-based models to improve the safety of future
-
power constraints of smart glasses, specifically about sensors, electronics, and batteries. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements