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offers a fully funded, four-year PhD studentship which will start in October 2025 on one of the following themes: Theme 1: AI-Driven Solar Forecasting for Smarter PV Integration Theme 2: Next-Generation
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Status: Closed Applications open: 15/07/2024 Applications close: 1/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information The project aims to develop an innovative and environmentally sustainable process of copper extraction from concentrates leaching...
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consumption by 2030 and carbon-zero emissions by 2050. Ensuring the safe, sustainable operation of hydrogen storage and delivery systems, including the integrity of storage containers and pipelines, is
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initiative investigating how human-specific features of brain development shape early behavior and neural circuit function in autism spectrum disorders (ASD). This position is a joint effort between the
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initiative investigating how human-specific features of brain development shape early behavior and neural circuit function in autism spectrum disorders (ASD). This position is a joint effort between the
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research on biomedical sensor applications (biomedical sensor interfaces/ integrated mechanical strain sensors) analog/Mixed-Signal Integrated Circuit Design (CMOS, low-power, low-noise design) publication
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technology, the circuit design of the OLED integration, testing, assembly and interconnection technology to the development of the complete system and application. Here, we are working in the interdisciplinary
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Advanced Packaging and Integration Lab/ Universite de Moncton Contract: Full Time/Fixed Term for three (3) years. Supervisor: Dr Mohamed Lamine Faycal BELLAREDJ, Assistant Professor Department
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pertes de puissance et en simplifiant la conception des circuits, les IVRs contribuent à une meilleure gestion thermique et donc à une meilleure efficacité globale du système.Ce sujet de thèse vise le
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discipline boundaries and abstraction levels is a must. Knowledge in integrated circuit design, testing and simulation using Cadence is a plus. Knowledge of digital neuromorphic hardware and sensors is a plus