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Job Description Are you passionate about transforming food safety through cutting-edge technology and want to apply your data science and AI skills to real-world public health challenges? This is
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/scripting (e.g., Python, R, or Bash) Familiarity with next-generation sequencing data and genome assembly tools Strong analytical and problem-solving skills Excellent written and spoken English communication
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of silicone polymers, including crosslinking and tailoring of soft materials. Foam preparation and characterization, with experience in analysing porosity, microstructure, and density. Advanced analytical
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such as CAPeX. You are an experimentalist - second to none. You have experience in one or more of the following areas: Analytical electrochemistry Vacuum science/surface science MEMS chip design and
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into the enzyme-substrate interaction in the same set of enzymes. Further, there will be collaboration with a PhD student from NTNU working with similar analytical methods on another class of carbohydrate-active
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following qualifications: Programming skills and AI interest Data analytical skills and computer science focus Experiences with chemical analysis and pilot experiments is an advantage. Knowledge
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: Develop your own PhD plan outlining experimental trials. Design and conduct in vivo trials with salmonids. Collect biological samples and observational data from lab-based studies and at real fish farming
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
capital facility maintenance operations. The virtual education and training environment incorporates Digital Twin Construction project data, multimodal and augmented tools for realistic haptic control and
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Proven experience with epidemiological methods and data analysis Interest in applying AI tools to support scientific workflows A strong analytical mindset and attention to detail A systematic and