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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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. Your competencies Prospective applicants should have the following qualifications: M.Sc. degree in wireless communications, communications engineering, computer engineering or similar; solid mathematical
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. Experience in modeling biological processes. Experience in use of process simulation tools such as Matlab, Aquasim, Superpro Designer or similar. Expertise within fermentation technology and/or gas
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of the power converters in collaboration with our industry partners. The candidate will have the opportunity to work with state-of-the-art tools for simulation and design power converter and advanced power
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partners. The candidate will have the opportunity to work with state-of-the-art tools for simulation and design power converter and electric machine and control the converter with advanced power electronic
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disease as well. Description of the candidate: The successful candidate is expected to hold: A master degree in biomedical engineering or equivalent. Excellent programming and signal processing skills
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described therein. Based on an individual managerial assessment, the employee may be exempt from time registration—also referred to as “self-managed working hours.” Assessment and Evaluation Process
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2) and ensures a smooth transition to partners for later stages of development. By connecting science, innovation, clinical trials, regulatory processes, and product development, NIVI aims
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to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time. For further information about stipends and salary as well as practical issues concerning the application procedure
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well as practical issues concerning the application procedure contact Ms. Annemarie Davidsen, the Doctoral School at The Technical Faculty of IT and Design, email: ada@adm.aau.dk . Read more about The Technical