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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
mission enabler programme under CORC, where other modelling activities will run in parallel to support and be supported by the findings of the digital twin solution. This innovative ambition is shared with
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explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
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mission enabler programme under CORC, where other modelling activities will run in parallel to support and be supported by the findings of the digital twin solution. This innovative ambition is shared with
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the experimental team co-supervise BSc and MSc student projects As part of the Danish PhD program, you will also take PhD courses, participate in teaching, conduct an external research stay, and disseminate your
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academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme
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processing, or spectroscopy. Familiarity with hyperspectral imaging or related optical imaging methods is an advantage. Strong programming skills in Python and/or MATLAB. Interest in applying machine learning
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included in the project. You will also take part in the National and European reporting of zoonoses and antimicrobial resistance and in relevant teaching at DTU National Food Institute. You will plan
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programme, and you will be offered local mentoring during the tenure-track period. In case of more senior applicants, a position as tenured associate professor or full professor will be considered
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Faculty position in proteomics (Tenure-Track Assistant Professor, Associate Professor or Professo...
programme, and you will be offered local mentoring during the tenure-track period. In case of more senior applicants, a position as tenured associate professor or full professor will be considered. The Danish
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executive level. Candidates must be enthusiastic about teaching and interacting with students at different levels and should have had successfully supervised thesis and research projects at different levels