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Field
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learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL • Organic synthesis, polymer chemistry, synthesis
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structural analysis, material formulation, and 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
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-sensing concrete. Lab test and analysis of self-sensing concrete. Optimize and evaluate the performance for field trials. Publish several papers in top journals. Write proposals for further development
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acid quantification and molecular analysis, including troubleshooting Demonstrated experience with aptamer technologies or nucleic acid-based molecular recognition systems. Strong laboratory skills in
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the sensing payload · Prepare clean, georeferenced, time-synchronised, and well-documented datasets · Support quality assurance and quality control of collected data, and assist with analysis and
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, MATLAB) and experience with data analysis tools. • Ability to work both independently and collaboratively within a multidisciplinary team. • Open to fixed-term contract.
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analysis pipelines for Raman spectral classification, potentially integrating machine learning methods. Research & Project Responsibilities Plan and execute experimental workflows to achieve project
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analysis Competence in laboratory testing design and implementation Publication track record is an advantage Ability to work independently and develop solutions under strict timelines We regret to inform
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grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: Conduct research on the design and analysis
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mechanistic insights linking textural dynamics to sensory perception. Integrate multi-modal datasets from different mastication simulators into a 3D Principal Component Analysis (PCA) space, enabling