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with a wide range of neuroscience techniques, including data analysis,tissue staining, and postmortem MRI. What do we offer? You will be joining a highly collaborative research environment in the Ultra
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on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and
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experimentation. PhD 2 on electrical and calorimetric efficiency measurement has the primary emphasis of: measurement-system design, sensor characterization, uncertainty analysis, converter testing and calorimeter
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unprecedented clarity. The project combines high-resolution analysis of genetic, epigenetic and gene expression variation between apomictic plants, which exposes putative natural epialleles (this PhD project
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Fixed-term contract: 12 months. What do we offer? We offer a dynamic and inspiring environment with excellent support for experimental work and analysis, and great opportunities for collaboration
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analysis of existing models and model requirements to predict non-CO2 greenhouse gas emissions on regional level across Europe, including their ability to assess the impact of mitigation measures across time
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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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is expected to be open to combine both positivist and non-positivist approaches under the supervision of Carolin Ischen and Gijs Schumacher, both specialized in large-scale quantitative analysis and
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without the need for additional invasive measurements. The research is embedded within the Quantitative Healthcare Analysis (qurAI) group and conducted in close collaboration with the CARA Lab and clinical
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engagement. You will have the opportunity to shape the focus of your research according to your background and interests, with an emphasis either on iPSC-based disease modelling or on computational analysis