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theorem provers such as Coq or Isabelle/HOL. Proof Automation. We plan to develop formal methods for automatic reasoning that can be materialized into commercial tools. Responsibilities Participate in and
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theorem provers such as Coq or Isabelle/HOL. Proof Automation. We plan to develop formal methods for automatic reasoning that can be materialized into commercial tools. Responsibilities Participate in and
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intermediate language. Mechanization. We plan to mechanize the formal framework using state-of-the-art theorem provers such as Coq or Isabelle/HOL. Proof Automation. We plan to develop formal methods
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, microbial cultures, and cleaning validation samples. Develop data analysis pipelines for Raman spectral classification, potentially integrating machine learning methods. Research & Project Responsibilities
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foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and
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responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and execute methods for characterizing and linking the texture and
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validating objective texture testing methods that can accurately categorize foods within the International Dysphagia Diet Standardisation Initiative (IDDSI) framework, with a specific focus on Level 5 (Minced
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tunnelling. Prior experience in basic soil characterization and knowledge in basic soil mechanics is required. Have a degree in civil engineering. Possessing a Master’s or PhD degree will be advantageous
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Nursing Occupational Therapy Physiotherapy Speech and Language Therapy Applicants should meet all the criteria below: (a) an earned PhD in the respective healthcare discipline from a reputable university
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safety in labs. Job Requirements A good degree in Chemical Engineering or a related field. Masters, PhD and/or relevant professional certifications would be advantageous. Track record in project leadership