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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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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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completion) in relevant discipline such as Economics; Sustainability or related discipline. Strong understanding of participatory approaches Proven ability to effectively collect, analyse and work with
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Experience or desire to work with those from other disciplines Evidence of excellent administrative and project management skills Evidence of self-motivation and the ability to work independently Evidence of
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equivalent industrial experience (or awaiting graduation by the start date of the project). Ability to work as part of multidisciplinary team, and to communicate effectively with individuals from different
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at Université Paris-Saclay (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
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fabrication processes, including lithography mask design. Experience in photodiode characterisation. Ability to articulate research work, both in technical reports/papers and by oral presentation. Ability