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emulsion, coat it with a nanoscale separator, and fill it with cathode material. The goal is a scalable, robust fabrication method that could revolutionise battery technology and support sustainability. Your
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processing, algorithm design, optimisation and simulation, software engineering and automation and control systems. An overview of the current PhD research projects is given here: https://www.dashh.org
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? We invite applications for a PhD position, focusing on the design and implementation of Spiking Neural Networks (SNNs) using CMOS technology. Project Overview This PhD position is part of a
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Degree Dr-Ing Doctoral degree or degree awarded by Saarland University or RPTU Kaiserslautern-Landau Course location Saarbrücken In cooperation with Max Planck Institute for Software Systems
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research questions from several fields such as software and domain engineering, system modelling and analysis, application adaptability and integration, human computer interaction, security, and
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students and post-doctoral researchers using high performance computing to advance understanding of high-speed aerodynamics. Over the past decade we have developed efficient open-source software that enables
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to metocean statistics and development of software packages related to the generation of said statistics. This work amounts to 25% (one year) of the total project period and allows the PhD project to run over a
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record in medical research and innovation. The project will benefit from access to advanced computing facilities and specialized software for deep learning model development and CT scan analysis
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interaction with the journal (rotating part). The PhD will be conducted in collaboration with Cummins Components and Software (CCS) [Turbochargers Group] who are developing fuel cell turbomachines which use
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student will work closely with experts at national spectroscopy and imaging facilities to deliver scientific software applicable to experimental imaging data. Project Aims The aim of this project is to