Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
are demonstrated knowledge related to acoustic modelling, measurement and soundscape. o Essential are demonstrated data analytic skills, ideally with machine learning or statistical modelling • Other general
-
integration and AI models tailored for fish behaviour, health, and stress signal analysis. Investigate and apply novel machine learning and deep learning techniques for pattern recognition, classification, and
-
researcher in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models
-
Journals / conference proceedings as defined in the project scope and agreements. Scientific activities include: Develop Tidal Resource Models Design and implement statistical and machine learning tidal
-
professional and academic standards worldwide and are responsive to student interests and evolving global needs. Post-graduate programs combine theory and practice, offering MA and PhD by research and a MA in
-
to working in the heat. There are also opportunities to pursue a part-time PhD with HRPC. The main areas of responsibilities of the role will include but limited to the following: Working with research PIs and
-
machine learning conferences/journals Job Requirements: PhD in Mathematics and/or Electronics and/or Computer Science Ability to work independently and as part of a team with strong initiatives. Good
-
) in OM or a closely related field is required. While the positions are open for any candidate with research interests in broad domains of OM, those specializing in analytics (AI, machine learning
-
science. Apply and/or develop cutting-edge computational methods, including machine learning and AI, to address fundamental questions in biology, medicine, or public health. Contribute to undergraduate and
-
into operational use cases. Prepare data collection frameworks and work on fish health monitoring datasets for machine learning training and benchmarking. Support the development of translational “lab-on-farm