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models in federated settings using synthetic and real-world datasets. Design and development of novel federated causal inference algorithms and associated software APIs. Validation of algorithms via
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should possess: PhD/Ms/BSc in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep
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duties assigned by supervisor. Job Requirements PhD in Food Science, Food Technology, or a closely related discipline. Strong Master’s degree holders with relevant experience may be considered. Strong
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degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image
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cross-domain integration for smart MRO systems Qualifications: PhD in Aerospace Engineering, Mechanical Engineering or a closely related discipline Strong track record in Aerospace MRO, aerospace systems
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attached with industry. We will prioritise collegial and team-spirited candidates with either (a) an earned PhD or equivalent from a reputable university with specialisation in any of the above-mentioned
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in operational MRO environments Serve as a technical mentor across disciplines (AI, robotics, materials), enabling cross-domain integration for smart MRO systems Qualifications: PhD in Aerospace
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/DFA principles. Knowledge of industry standards (ASTM, ISO) and regulatory frameworks (e.g., ISO 13485 for biomedical). Characterization: SEM/EDS, XRD, DSC/TGA, tensile/impact testing. Software: Thermo
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work that leads to methods, tools, datasets, or deployable capabilities; practice-based scholarship grounded in operational experience; sector-facing evaluations; or interdisciplinary work that brings
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operators or engineering partners; translational work that leads to methods, tools, datasets, validation approaches, or deployable capabilities; practice-based scholarship grounded in operational experience