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requirements, please see the subject’s general study plan . The specific requirements are met by having passed exams in areas relevant to the subjects of image analysis and machine learning with a minimum of 90
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differences between China and Denmark. The PhD candidate designs and carries out an original research project that asks how institutional environments shape firm-level AI adoption, organisational capability
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international conferences, and will contribute to the department’s teaching programs. Planned starting date is January 1st 2027 (or soon after). Where to apply Website https://www.academictransfer.com/en/jobs
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and innovation to take us further. We want to devote attention to your personal development. You can count on an enjoyable job within the socially relevant world of education and research
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assessment approaches that combine existing secondary datasets with targeted primary data from food producers. Participate in the design and evaluation of innovative multi-dimensional front-of-package
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research achievements; Professional experience relevant to the project activities; The quality and relevance of the candidate’s research and career development plan. The interview is graded on a scale from 0
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years. Your work tasks This PhD project focuses on the design and control of energy-efficient hydraulic systems with integrated safety functionalities. The overall objective is to develop innovative
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position This PhD project is connected to FME NorthWind (https
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environmental conditions. The PhD position is funded through the Norwegian Nuclear Research Centre (NNRC). Link: https://www.nnrc.uio.no/english/index.html The PhD candidate will be part of a dynamic and
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of waste materials. Your duties and responsibilities include: Designing, and validating a robust substrate screening methodology for black soldier fly larvae. Refining the aforementioned screening