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or hard constraints, operational bounds (voltage limits, capacity, phase balance), and network topology through graph neural network architectures. You will build validated benchmark datasets and an
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(Kirchhoff's laws) as soft or hard constraints, operational bounds (voltage limits, capacity, phase balance), and network topology through graph neural network architectures. You will build validated benchmark
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(Kirchhoff's laws) as soft or hard constraints, operational bounds (voltage limits, capacity, phase balance), and network topology through graph neural network architectures. You will build validated benchmark
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cutting-edge physiological measurements, motion analysis and wearable technology to uncover how fatigue shapes mobility in daily life. This PhD project investigates how fatigue affects gait, balance and
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the Department of Political Science and the Centre for International Conflict Analysis and Management. As part of your PhD position, you will also contribute to teaching (max 5%) and will have the opportunity
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of Political Science and the Centre for International Conflict Analysis and Management. As part of your PhD position, you will also contribute to teaching (max 5%) and will have the opportunity to work
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with neurological disorders, yet its effects on everyday movement remain poorly understood. In this PhD project, you will combine cutting-edge physiological measurements, motion analysis and wearable
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cutting-edge physiological measurements, motion analysis and wearable technology to uncover how fatigue shapes mobility in daily life. This PhD project investigates how fatigue affects gait, balance and
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a strong basis in advanced statistics (e.g. mixed-effects models, cross-lagged panel analysis, latent class analysis; preferably in R) and research methods. Experience with existing panel data is a
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-speaking children and schools and communicating research findings internationally. You have experience with quantitative data analysis, preferably using tools such as R, Python, MATLAB, or similar software