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. She obtained PhD in Signal & Information Processing at Chinese Academy of Sciences, and Postdoctor at Imperial College London. She received the Newton Research Collaboration Award by UK Royal Academy of
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mathmatical modeling. The candidate should also have a PhD or other advanced degree in a food or engineering related field. Knowledge of food formulation, sensory analysis, extrusion technology, machine
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research focusing on the project topics described above. Manage large datasets. Perform statistical analysis and econometric analysis of the data using appropriate software (Stata, R). Carry out and develop
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systems using computer vision, quantitative image analysis, deep learning methods for detection, diagnosis, and quantitative analysis of abnormalities with multimodal data, including clinical and
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field data and controlled experiments. Insights from the project will have practical applications in pest control and livestock management. The candidate will be encouraged to develop, simulate and
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oversee and coordinate the work of junior staff and students on data curation, analysis, and pipeline-related tasks, ensuring adherence to established workflows and quality standards. QUALIFICATIONS PhD in
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fitness and tumor initiation. We welcome applications from recent PhD graduates who have published their thesis research and who are interested in this research area, particularly those who may have prior
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: Master’s degree (120 ECTS credits) or equivalent qualifications in ecology or related areas when starting the PhD position. You have a solid methodological foundation in ecological data collection and
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. Possessing a Master's or PhD degree will be advantageous Experience and Knowledge of operating HPLC, MALDI-TOF and Q-TOF Mass spectrometry for protein sequencing, carbohydrate/Sugar analysis, and polyphenol
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blockchain and quantum algorithm team from the groups Data-centered and Secure Computing (DSComputing) , and Geometry and Analysis , connected to international communities in IEEE Blockchain, and the network