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to state-of-the-art laboratories, hardware/software resources, and design facilities, supporting AI-powered electronics research. This project will be conducted within Cranfield’s Integrated Vehicle Health
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personality with high teamwork abilities; safe handling of inert gas techniques; knowledge of analytical methods for molecular chemistry; Microsoft Office and chemical software handling; confident presentation
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where the conventional fluid-only approach becomes limited. You will validate your models against a range of test cases and engine data and develop heat transfer correlations for instances where in-engine
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the existing core-level GW+C implementation in the FHI-aims software package. Currently, this approach is limited to molecules; your task will be to adapt and expand it for application to 2D framework materials
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researchers from different disciplines. You have proficiency in data analysis and statistical software packages. You have problem solving skills. You fit to us: If you have a strong interest in plant physiology
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skills in English and sufficient oral and written communication skills in a Scandinavian language. For international candidates (outside of EU/EEA area), approved TOEFL English proficiency test with min
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excellent communication skills and will to collaborate with researchers from different disciplines. You have proficiency in data analysis and statistical software packages. You have problem solving skills
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of transportation engineering, railway system engineering, civil engineering or related courses of study a working knowledge of industry-standard planning software a good command of German and English, both
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. Despite some success stories of the use of ultrasound/AE-based technologies for CM of low-speed bearings, high investment cost for hardware and software is the main bottleneck in adopting these technologies
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forms from land via inland waters to sea. You will synthesise, test, and use the reported methane kinetics from labs and culture experiments to construct the model using Python programming language. You