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estimation of rotating tools. Direct tool wear characterization will be based on optical measurement systems and data processing to achieve wear feature recognition and quantification. Indirect tool wear
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experience with: Signal processing Experimental design and data analysis Furthermore, the successful candidate is expected to: Have excellent knowledge of English (written and spoken). Have high self
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to the PhD project ie. processing and analysis of dietary intake data, statistical analyses (eg. linear mixed models) as well as evaluation of child growth and body composition data. Relevant publications
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) OpenFOAM (beneficial, not required) Strong analytical and problem-solving skills. Further information Further information may be obtained from Professor David R. Fuhrman (drfu@dtu.dk ). Application procedure
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) Shortlisting may be used in the assessment process. Incomplete applications and applications received after the deadline will neither be considered nor evaluated. This also applies to reference letters
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the understanding and chemical characterization of advanced bio-oils derived from lignocellulosic biomass and municipal solid waste. This research is critical for the commercialization of bio-oil upgrading processes
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*************************************************************************** Application and Assessment Procedure Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below. Please include: Motivated letter of application (max
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Good language skills *************************************************************************** Application and Assessment Procedure Your application including all attachments must be in English and
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written and spoken English. Fluent in a computer coding language (python or Matlab or C++ or etc). The Scientific environment We offer creative and stimulating working conditions in a dynamic and
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for grant recipients and funding institutions. Furthermore, the research aims to improve our understanding of 1) inputs to the assessment and selection processes (e.g., application content, applicant team