Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
research assistant in applied adversarial machine learning. This exciting opportunity will contribute to the D-XPERT (AI-Based Recommender System for Smart Energy Saving) project. The D-XPERT project
-
will be to develop generative machine learning models and signal processing algorithms for sound generation, given prompts from text and/or video. This work is built on the recent contributions of CVSSP
-
results-driven individual with a minimum postgraduate degree in Business Analytics, Data Science, Machine Learning, or a strong data analytics field. The ideal candidate will possess a background in
-
an outstanding Research Software Developer for the development of a mobile acoustic sensing system suitable for environmental acoustic sensing. The post holder will work in close collaboration with leading machine
-
management, which can involve schema modelling, formatting, annotation, enrichment, search and discovery. Experience in Machine Learning model development/optimisation and workflows for time-series (tabular
-
cosmological merger trees, with machine learning tools to calculate the gravitational wave background based on black hole and galaxy properties. The successful applicant will assess the efficiency of massive
-
are encouraged to apply. Prior experience working with large datasets, machine learning techniques and/or high-resolution simulations of dwarf galaxies would also be advantageous. How to apply Applicants should