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Field
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intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/ The graduate school within WASP is dedicated to provide the skills needed
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on development within Unreal Engine 5, utilizing Abertay’s Competitive Games Lab to test systems in contemporary vehicle sports environments. Key project objectives: Validating aerodynamic projectile physics: we
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to align neuromorphic algorithms with the physical constraints of the target hardware. This hardware–software co design effort will involve: • Deepening and extending NSS-related machine learning and
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testing, DC Grids testing environment, and large RTDS that is actively used for real-time simulation of future electrical power systems, AC and DC protection and wide-area monitoring and protection
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to present the test results as part of their application. These results will be requested at a later stage during the selection procedure. For more information see https://www.tudelft.nl/onderwijs/opleidingen
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; Experimental characterisation and performance testing; Data-driven design and optimisation; Digital manufacturing of flexible medical devices. Desired Academic Background Applicants with backgrounds in
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systems, optimization and networks, embedded and real-time systems hardware and software, fault diagnosis, cyber-security, reliability, resiliency and fault tolerance, cyber-physical systems, Internet
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trade-offs between alternative phytosanitary measures, including prevention, eradication, and containment strategies. Incentives and policy analysis: Examine how economic incentives, institutional
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thermal interface material or by enlabling other heat dissipation pathways. As part of the research, you will synthesize the materials in the EKL cleanroom, create test structures and validate their thermal
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towards this requirement. Technical Skills or Knowledge: Proficiency in Python and other related software, such as MATLAB, R, Julia, SQL, and data analysis/optimization libraries. Preferred Competencies