-
patients' homes, combined with an advanced data fusion and machine learning pipeline. This approach will measure changes in specific mobility-related behaviours over weeks and months, providing critical
-
for Embedded Machine Learning Applications," funded by the NorthEast Launchpad Competition. We are seeking a candidate with a strong background in hardware design and the implementation of machine learning
-
-localisation • You will have experience of at least one of the following analysis techniques (multiple preferred): Normative modelling, dimensionality reduction techniques, machine learning/AI, dynamic model
-
. Additionally, we will equip bacteria with inducible buoyancy and magnetic properties to aid their removal from environment. The project is built at the interface of synthetic biology, machine learning, and
-
Information Technology (computer) skills to meet the needs of the project • Willingness to learn new research skills • Willingness to work flexibly in order to meet project’s demands Desirable • Hold (or be near
-
environment Qualifications Good honours degree (or equivalent) with some subject knowledge in the relevant area (Research Assistant) A PhD in Neuroscience, Engineering, Computer Sciences or a related discipline