Sort by
Refine Your Search
-
Program
-
Employer
-
Field
-
: Department of Mathematics and Statistics Position Summary : Optimize ML RNN/CNN models on sensor data with healthcare applications. Help interdisciplinary researchers to publish clean codes in public
-
data sources such as UK Biobank and eventually come up with algorithm useable for the early detection of Alzheimer’s disease (AD) and Parkinson’s disease (PD). Nature of Work: In this project, we will
-
candidate will support experimental research focused on the synthesis and characterization of photo-activated semiconductor materials. Responsibilities include developing and testing UV-activated gas sensor
-
characterization of photo-activated semiconductor materials. Responsibilities include developing and testing UV-activated gas sensor prototypes, conducting laboratory and field evaluations, and analyzing
-
environmental data Processing and analyzing large-scale remote sensing datasets from UAV, satellite, and ground-based sensors Leveraging artificial intelligence, e.g. machine learning, reinforcement learning
-
signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS Liquid Argon Calorimeter system. Use novel high-level synthesis
-
degree in Computer Science, Math, Statistics or Engineering programs. Ph.D would be an asset. Knowledge of classification algorithms, vision-language models (VLM) and Hugging Face Transformers is an asset
-
plasticity measured by near infrared spectroscopy after stroke; effect of a virtual rehabilitation program on self-care after traumatic brain injury; use of wearable sensors to inform neurorehabilitation
-
rehabilitation program on self-care after traumatic brain injury; use of wearable sensors to inform neurorehabilitation practice; and implementation trials to increase the uptake of technology in clinical
-
injury; use of wearable sensors to inform neurorehabilitation practice; and implementation trials to increase the uptake of technology in clinical rehabilitation. GF Strong Rehab Centre is situated in