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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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-funded project “Coping with decline: Comparative social-historical analysis of depopulation and community welfare in Europe, 1950-2022 (DEPOP)”: http://www.rug.nl/let/depop What are you going to do
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The ultimate objective of this project is to detect cognitive strategies in single-trial EEG data. In very broad terms, we will use the HMP method (https://github.com/GWeindel/hmp ) to discover
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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
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research on an entrepreneurial question, supported by clinic and plenary sessions. Where to apply Website https://www.academictransfer.com/en/jobs/363730/lecturer-strategic-management-e… Requirements
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and analysis of dedicated algorithms for training analog circuits directly from data. In this PhD project, you will develop a novel system-theoretic framework for learning in analog circuits and
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planetary atmospheres. The Section also initiates and manages a wide range of related modelling, software and hardware R&D activities. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s