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will be based in Odense, under the primary supervision of Prof. Ricardo J. G. B. Campello , but they will be expected to also work closely with other PhD students, postdocs, and collaborators both from
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to structured spectral annotation supporting advanced downstream data analysis (in collaboration with a dedicated postdoc) Present research findings through peer-reviewed publications and international
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Job Description Are you passionate about artificial intelligence, bioinformatics, food safety, and creating real-world impact through cutting-edge technology for improving food safety? Do you want
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. The successful candidate will be based in Odense, under the primary supervision of Prof. Ricardo J. G. B. Campello , but they will be expected to also work closely with other PhD students, postdocs, and
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environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial
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of the genotypes. The PhD student will work together with a postdoc on the project. Description of the scientific environment The PhD student will be hosted in the Crop Physiology and Production Systems research
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sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT
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DTU Tenure Track Researcher in Low-Noise Supercontinuum Lasers and Supercontinuum Laser based Opt...
of Thulium fs lasers. You will also be a co-supervisor of postdocs and PhD students working on the project. We therefore require you to have strong experimental qualifications within fiber optics, fiber lasers
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/Postdocs and more senior scientists within the MicroAM project. Responsibilities and qualifications If you are you interested in numerical simulations of advanced manufacturing processes which involve
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processes (e.g., application content, assessments committees’ refiguration and process) and 2) the outcome of evaluation and selection for diverse participants. The research will leverage artificial