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fields. Experience with 3D printing and/or soft robotics is an advantage Familiarity with sensor integration and control systems Analytical thinking, problem-solving skills, and effective communication
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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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-throughput experimental techniques. Strong analytical skills and the ability to work effectively in a collaborative, interdisciplinary research environment. Approval and Enrolment The scholarship for the PhD
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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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to computational tools like RFdiffusion, ProteinMPNN, or AlphaFold. Experience with mass spectrometry-based proteomics or degradomics. Strong analytical skills and the ability to work effectively in a collaborative