Sort by
Refine Your Search
-
proteins for high quality alternative protein foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use
-
project deliverables. Any other adhoc duties assigned by supervisor. Job Requirements PhD in Food Science, Food Technology, Food Chemistry, Chemistry, Nutrition, or a closely related discipline. Strong
-
, microbial cultures, and cleaning validation samples. Develop data analysis pipelines for Raman spectral classification, potentially integrating machine learning methods. Research & Project Responsibilities
-
Have a degree in a relevant Engineering discipline. Possessing a Master’s or PhD degree will be advantageous Knowledge of shock mechanics and protection engineering will be advantageous Knowledge of non
-
analytics, digital forensics, vulnerability assessment, malware analysis and defence, Privacy-enhancing technologies, AI security. Computer Science and Software Engineering: SDLC, requirement analysis, design
-
, malware analysis and defence, Privacy-enhancing technologies, AI security. Computer Science and Software Engineering: SDLC, requirement analysis, design, testing, optimisation, analysis, simulation
-
experimentation across emerging materials, structural design, and advanced fabrication methods. Bridge creative design with engineering feasibility to develop manufacturable, real-world product and service
-
Requirements Have relevant competence in the areas of Finite Element simulations and experimental work Have a degree in a relevant Engineering discipline. Possessing a Master’s or PhD degree will be advantageous
-
accuracy of AFM, indenters, and micro-TA probe type systems specifically for characterising cultivated meat, contributing method development knowledge to the field. Deploy dynamic oral processing simulation
-
checks across records. Develop a cloud-based verification platform for digital data collection and real-time analytics. Develop and apply non-destructive testing (NDT) methods and data-driven approaches