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Project details Globally, we are facing a huge explosion in data creation volume. With technological advancements like IoT and Artificial Intelligence, organisations are gathering vast swathes of data but in many cases, are failing to use this data effectively. ‘Bad’ data carries significant...
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In the process of laser shock peening (LSP), metallic structural components are hit by controlled laser pulses. The sudden vaporisation of material at the structural surface creates large magnitude pressure shock waves which induce compressive residual stresses in the structure, thereby...
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The Simons Foundation Autism Research Initiative (SFARI) is invested in supporting the next generation of top autism researchers. The Bridge to Independence Award program engages talented early
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2025 Starting Date01 Oct 2025 Content Navigation Overview Description Required Documents Application Overview Open Positions 1 Time Span 01 Oct 2025 for 48 months Application Deadline 15 Aug 2025
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Aug 2025 Starting Date01 Oct 2025 Content Navigation Overview Description Required Documents Application Overview Open Positions 1 Time Span 01 Oct 2025 for 48 months Application Deadline 15 Aug 2025
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industries, including: Aerospace: Faster, more efficient design and real-time condition monitoring for safer aircraft and spacecraft. Civil Engineering: Real-time health monitoring for bridges and skyscrapers
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. At AICF, we aim to create secure, sustainable, responsible, and inclusive technologies that maximise human potential and wellbeing in agriculture. By bridging cyber-secure emerging technologies with data
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Starting Dateas soon as possible Content Navigation Overview Description Required Documents Application Overview Open Positions 3 Time Span as soon as possible for 3 years Application Deadline 31 Jul 2025
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The successful candidate will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between electricity markets and digital technologies in Luxembourg
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framework to bridge this gap and enable organizations to confidently deploy secure GenAI solutions by evaluating the machine-learning models intrinsically, identifying components of an AI pipeline and their