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of the methodology. The use of new methods and new technology is a key component of the SmartForest center for research-based innovation. The center is led by the Norwegian Institute of Bioeconomy Research and NMBU is
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for further details. About the PhD position (applies to university PhD positions): The applicant’s personal suitability for the position is a significant factor in the evaluation. Applicant whose education is
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orbitronics. Such models can assist in developing new concepts in quantum transport where the key component is the orbital angular momentum of electrons rather than their charge or spin. The system will be
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concepts in quantum transport where the key component is the orbital angular momentum of electrons rather than their charge or spin. The system will be driven out of equilibrium via electric manipulation
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an Integrated PhD study plan[1] You must have some relevant skills and competencies in systems analysis, optimization and/or operations research You must have a strong academic performance from your previous
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an Integrated PhD study plan[1] You must have some relevant skills and competencies in systems analysis, optimization and/or operations research You must have a strong academic performance from your previous
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work A plan for the training component A funding plan A proposal for academic supervisor(s) In addition, you should provide information in which the language you wish to write your doctoral thesis. You
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based on or exploring elements from acting practice The Actor as Interpreter of Text The second fellowship focuses on the actor as interpreter of text – where the act of interpretation is at the core
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for Applied and Theoretical Econometrics (CATE). The doctoral programme is an important element in the department’s research excellence strategy and in BI’s vision to become one of the leading research business
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Required qualifications PhD within forest sciences, remote sensing, data science or related field Competence in data processing and analysis of remotely sensed data Experience in use of remotely sensed data