239 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs in Denmark
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for the tenure track period CV including employment history, list of publications, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas
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an excellent publication record within the fields and a demonstrated ability to develop and teach courses in Strategy, Innovation, and Marketing. The new professors are expected to spearhead the department's
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highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You can learn more about the recruitment process here
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dependable. You find enjoyment in working with data, learning new techniques, and applying them in rigorous ways. Ideally, you are at the end of your Bachelor, or start of your Master programme. In terms
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science. Teach relevant courses, supervise BSc, MSc and PhD students, and mentor postdocs and tenure track assistant Professors. Contribute to the strategic development of the department’s research and
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biotechnology, medical biotechnology, and electrochemical engineering, and more into new technologies and value-creating solutions that can also be used in the business community. For more information: https
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). You can read more about DTU Sustain at https://sustain.dtu.dk/en/ If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark
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academia and with clinical or industrial partners. Teach and supervise at the BSc, MSc, and PhD levels. Contribute to DTU Bioengineering’s research environment, including shared infrastructures
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science. Teach relevant courses, supervise BSc, MSc and PhD students, and mentor postdocs and tenure track assistant Professors. Contribute to the strategic development of the department’s research and
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are seeking a candidate for a vacant position as Tenure Track assistant professor in AI and machine learning to develop a novel research area within the use of agentic AI models for improved analyses of whole