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Field
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projects, international collaborations, and experimental campaigns using software-defined radios and UAV operation platforms. The project offers mix of theoretical development, simulation-based research, and
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verification of resilient state estimators for the eVTOL and HESS. Essential and Desirable Criteria - Background: control/mechanical/electrical engineering, physics or computer science - Essential knowledge
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, Synthetic Biology Applied Mathematics, Computer Science/AI, or Control Engineering Biological laboratory skills Programming / Software Engineering Electrical Engineering and robotics prototyping Application
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://doi.org/10.1021/acssuschemeng.4c01820 ). The PhD candidate will then push the boundaries by developing and optimising the technique further, integrating with advanced instrumentation and custom software
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interest and research in the field of economic and experience in data management and analysis. Demonstrable experience of working with quantitative data and relevant software (Stata, R, Python, or similar
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interest and research in the field of economic and experience in data management and analysis. Demonstrable experience of working with quantitative data and relevant software (Stata, R, Python, or similar
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software such as Ansys, Abaqus, SolidWorks,etc. Fundamental knowledge in the fluid mechanics and solid mechanics Willing to travel and attend the meetings with industrial partners on site; Should have or
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research findings in leading journals. Disseminate results widely, including at appropriate national/international conferences, and by making results and software available to applied practitioners
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Software Development: Building the Next-Generation Trust Maturity Model Integrating DevOps practices into ML-driven systems: A Framework and Maturity Model for Continuous Machine Learning Development
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basis. Desirable: MSc in relevant field Experience with force plates and/or strain gauges Experience in systematic reviews, empirical research, and use of statistical analysis software Accredited