-
theoretical understanding of statistical machine learning methods relevant to the project: Bayesian learning, machine learning, spiking neural networks. Experience of programming (e.g. with Python) and data
-
: Statistical signal/image processing, deep learning, machine learning, neuromorphic computing Good communication skills and an appropriate publication record are essential. Solid knowledge of Python and C++ is
-
researchers to find and follow their passion. We offer fantastic opportunities for learning, development and professional growth. This project will provide hands-on insight into, and potentially lead to, career
-
. Proficient in Microsoft Office Software (Microsoft Word, Excel, PowerPoint), Scientific Data Analysis and Graphing Tools and other relevant computer-based tools used in a modern research environment
-
grow? We encourage our researchers to find and follow their passion. We offer fantastic opportunities for learning, development and professional growth. This project will provide hands-on insight
-
-sciences/research/maths/mathematical-physics.htm ). You will also be part of the Edinburgh Mathematical Physics Group, a joint research collaboration between Heriot-Watt University and the University
-
(https://cvn.centralesupelec.fr/ ), Prof. Pock from the Institute of Computer Graphics and Vision at Graz University of Technology (ICG ), Prof. Thiran from the EPFL Signal Processing Laboratories (LTS5
-
Python or Julia). Experience of computer-aided design (CAD) of components and devices. Experience of using and/or writing numerical simulation code. About Heriot-Watt University At Heriot-Watt we