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testing, and advanced process simulation, with the objective of optimizing grinding performance and enhancing resource recovery. The ideal candidate will have a strong background in mineral processing
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analytical skills and attention to detail and ability to utilise data analytics and modelling software accordingly Experience in space solar cells qualification, acceptance standards and tests. Sponsorship
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contact both, and Your profile PhD in Information Systems, Computer/Data Science, Software Engineering, Applied Mathematics, or a related field Experience in publishing high-quality research, as
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also involve field visits to wildfire sites to test and validate research protocols developed for this project. Duties/Responsibilities: The incumbent will be responsible for processing and analyzing
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circuit design; Basic understanding of defects, faults, and test solutions for electronic systems is a plus; Basic understanding of AI and its hardware implementations is a plus; An affinity with teaching
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circuit design; Basic understanding of defects, faults, and test solutions for electronic systems is a plus; Basic understanding of AI and its hardware implementations is a plus; An affinity with teaching
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-author papers in high-quality journals relevant to the SPARK project's thematic area • Good programming skills and knowledge of various Power Systems software Candidates will be shortlisted based
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circuit design; Basic understanding of defects, faults, and test solutions for electronic systems is a plus; Basic understanding of AI and its hardware implementations is a plus; An affinity with teaching
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in Electrical Engineering, Computer Engineering, or any other related field relevant to the research; Good understanding of analog circuit design; Basic understanding of defects, faults, and test
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student assistants working on related topics For further information, please contact both, and Your profile PhD in Information Systems, Computer/Data Science, Software Engineering, Applied Mathematics