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heat integration in integrated Power-to-X systems. You will develop and apply physics-based process models that describe the behavior of Power-to-X plants under varying operating conditions. This
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, reject, or disengage from AI-enabled services. About the PhD program The three-year PhD program at CBS allows the PhD students to conduct research under the supervision of faculty, supported by research
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with Git and modern deep learning frameworks (PyTorch/Jax/TensorFlow) Ability to work independently and in collaboration with researchers, engineers, and domain experts. Strong motivation to conduct
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qualification listed above. We are happy to support a strong ML candidate in growing into the embedded/hardware aspects of the project. Your competencies You are able to design and conduct independent research
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stakeholders, including the European Commission, EFSA, ECDC, IAEA, FAO, WHO and the Danish Veterinary and Food Administration. Your primary tasks will be to: Conduct applied research advancing bioinformatic
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into frontrunner firms in the Danish fashion and textile industry (see https://vbn.aau.dk/da/publications/grøn-omstilling-i-den-danske-mode-og-tekstilindustri-virksomhedsb/ — available in Danish only), the premise
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machines Conduct simulations and experimental testing to validate system performance Document and disseminate research results through scientific publications and presentations The PhD candidate will work
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training course within the first year of employment. The candidate will most likely be expected to conduct teaching, supervision, and examination within the Danish programme. Applicants can find information
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training course within the first year of employment. The candidate will most likely be expected to conduct teaching, supervision, and examination within the English programme. Applicants can find information
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for teaching and research 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