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modular, scalable, and transparent control algorithms suitable for real-time implementation across different vehicle platforms. - Contribute to theoretical developments in stochastic model predictive
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opportunities for growth and collaboration in public health research. Internally, we focus on creating networks for professional mentoring with skilled colleagues across different sections, including a network
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mobility, access to education, and/or equitable outcomes for diverse populations. b) International vocational educational policy is an area for comparative analyses of VET policies across different countries
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family life. Ideals and practices related to work and family are compared across different countries, social groups within countries, and over time. The project is based on survey data. Eligibility To be
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learning in simulated and indoor/outdoor environment. Reasonable results can be achieved in high signal-to-noise ratio environments; further research is required to improve deep learning in fast variation
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project, e.g., fire safety engineering, CFD simulations of fire and combustion, risk assessments You must have a Master's degree in civil or mechanical engineering, energy- and environmental engineering
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/ Information and application Send a motivation letter, a CV, including the email addresses of two references, a grade transcript and a copy of your Master’s thesis and and preferably a list of publications
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and develop frameworks and knowledge on planning and coordination of resources within and across projects. apply quantitative methodologies, such as simulation and analytical modelling, to develop
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, materials and their condition. Second, simulation of pulse propagation in cables with variable parameters quantified in experimental studies. Third, utilizing signal processing and machine learning to develop
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• Interactions between the endocannabinoid system, cortisol, and opioids • Sex differences in stress responses and endocannabinoid function • Long-term health outcomes following stress exposure The PhD