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in applying causal estimation methods in healthcare. You will have the opportunity to work on a range of projects within your PhD including a collaborative initiative funded by the Innovative Health
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located on our Copenhagen campus. The candidate will be working with human-computer interaction principles for promoting effective management of privacy in interoperable text messaging platforms
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project will involve using and adapting existing simulation models of transport systems and development of methods for resilience analysis. The PhD project will suit students from any quantified background
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. We are looking for you if you have a background and interest in programming languages and formal methods --- e.g., has taken courses in program analysis, verification, compiler construction and/or
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with contactless sensor which can be integrated into existing data acquisition system enabling to monitor propulsion health as well as estimating remaining useful life (RUL). This PhD project is
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include producing and purifying enzymes, and performing biochemical characterisations using mainly NMR spectroscopy, but also other relevant methods. This will include structural analysis and investigations
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novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
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tackling the above challenges with novel system designs and tailored AI/ML based methods. Candidate’s profile A First Class Bachelors degree and/or Masters degree in a relevant subject (computer
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improved diagnosis and treatment of patients with motor, sensory and cardiopulmonary dysfunction in clinical and home/self-care settings. by developing knowledge, methods and tools for identification
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Acquired brain injury is significantly overrepresented in the criminal justice system, with prevalence estimates in prison populations ranging from 50% to 80% in adult populations. The needs