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of biological brains. Spiking neural networks (SNNs) can offer increased processing speed and reduced power consumption, especially when implemented on dedicated hardware (neuromorphic chips or FPGAs). Standard
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contribution to the writing of these publications proportionate to opportunity. 3. Strong experience with Python and C++ applied to research in real-time data processing. 4. Ability to articulate research work
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postdoctoral researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see https://www.hw.ac.uk/uk/schools/mathematical-computer
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with high power / ultra-short-pulse lasers. Optical or Laser system design and development. System engineering principles and processes. Training in Computer Aided Design (CAD) & Modelling. Skills
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to several high-power ytterbium-based systems and a high-energy titanium-doped sapphire amplifier. We design and build many of our own components and devices, including state-of-the-art ultrafast pulse
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associated risk assessments. Competencies, Skills & Knowledge Expertise in all routine analytical techniques (NMR, MS, IR, UV-vis, microanalysis) and the ability to handle complex single crystal X-ray
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Leonardo personnel. Most of the project will be executed in the High-power Laser Applications Laboratories in the National Robotarium at Heriot-Watt University in Edinburgh, with some joint work also
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(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