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with host bacteria during infections, particularly focusing on the use of E. coli and its related phages as model organisms. However, the results may be applied in pathogenic bacteria related to E. coli
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behaviour and provides active personalised learning for improved instant decision making. Key beneficiaries are expected to be construction industry stakeholders, for example, project owners, architects, engi
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computationally efficient numerical structural models. To support the condition (state) assessment, the project will also explore the use of advanced estimators (e.g., Kalman Filter) or Machine Learning models
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from Senior Researcher Manuel Gesto Rodriguez, DTU Aqua, e-mail: mges@aqua.dtu.dk https://www.dtu.dk/english/person/manuel-gesto-rodriguez?id=102699&entity=profile You can read more about DTU AQUA
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European level Participation in teaching activities Teaching and Learning education You must contribute to the teaching of courses. DTU employs two working languages: Danish and English. You are expected
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) or Machine Learning models. These tools will be integrated with physics-based models of environmental loading (waves and wind) to enhance the accuracy and robustness of the assessment. All components assembled
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. Experience in quantum nanophotonics, quantum photonic devices, nanoscience, nanotechnology, and quantum dots is welcomed. Learn more about the project here: nikaakopian.org/multiqubit . The project is
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decision-making. Collaborate with international partners and contribute to joint research activities. Teach and co-supervise students at different levels in courses and associated projects. Publish and
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obtained from Associate Professor Christian D. Damsgaard, e-mail: cdda@dtu.dk , Professor Jakob Kibsgaard, email: jkib@fysik.dtu.dk and Professor Stig Helveg, email: stig@fysik.dtu.dk You can read more
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Professor Natalja P. Nørskov, e-mail: natalja.norskov@anivet.au.dk Who we are Department of Animal and Veterinary Sciences is well-known for its skilled and very innovative interdisciplinary research