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Field
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to, contributing to teaching, laboratory and exercise teaching, supervision, and examination work within the employee's areas of competence. Be prepared for changes to your work duties after employment. Required
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
programming languages such as Python, FORTRAN, or similar, and an experience with using an FEA software. You must be fluent in spoken and written English. Your education must correspond to a five-year Norwegian
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software, is highly regarded. Furthermore, an interest or practical experience in additive manufacturing, including design, materials and processes, or testing, would strengthen your application. Finally, a
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, process optimisation is costly and unpredictable, impeding the sustainability and economic viability of fermentation-based manufacturing. To fix this, you will develop and test new methods for data
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: Characterize recycled aluminium microstructures using SEM/EBSD, microCT, and in situ mechanical tests. Develop microstructure informed models of plasticity and fracture across length scales. Investigate how
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psychological predictors of preparedness and policy support, and c) conduct experimental studies testing the effectiveness of targeted communication interventions to improve individuals’ response and preparedness
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, computational intelligence and machine learning, autonomous systems, optimization and networks, embedded and real-time systems hardware and software, fault diagnosis, cyber-security, reliability, resiliency and
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). This hands-on task requires precision, ingenuity, and excellent problem-solving skills. 4. Comprehensive Experimental Testing and Validation: Once the prototype is built, you will design and execute a rigorous
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Norwegian and magma-poor Iberian margins will serve as key laboratories, in conjunction with the Brazilian Campos basin and Labrador Sea NW Newfoundland as test systems. These study sites will permit to span
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++, Python, and JavaScript languages, multi- and many-core SoC, RISC-V, hardware synthesis, hardware-software co-design, (meta-heuristic) optimization algorithms, machine learning frameworks, (bonus topics