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learn in situations that are beyond their current capabilities. The ideal candidate has interests in quantitative methods and has a strong motivation for doing health technology assessment/health economic
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. However, current estimates of methane emissions from inland waters to the atmosphere are highly uncertain because of limitations in long-term observational data and modelling methodology. In this four-year
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institution has granted a Master's degree in Engineering, specializing in mechanical engineering, electrical engineering, computer science, mathematics, or a related field, along with a notable academic track
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that balance energy supply and demand, improve electricity grid flexibility, and optimize renewable energy integration. These solutions contribute to climate change mitigation by reducing emissions and to
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degree in Engineering, specializing in mechanical engineering, electrical engineering, computer science, mathematics, or a related field, along with a notable academic track record. Proficiency in
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the PRELIFE program we offer 15 exciting research projects which can be found at http://www.prelife.originscenter.nl of which the research project of the current PhD position is one. This project aims
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are seeking a motivated, enthusiastic, and curious PhD candidate to join our Health Technology and Services Research (HTSR) section at the Faculty of Behavioural Management and Social Sciences. At HTSR, you'll
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firm. Qualifications We’re looking for highly analytical people (math, physics, computer science, statistics, electrical engineering, etc.) who want to help build the research-driven trading firm of
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PhD position - Modelling the emergence of information transfer in prebiotic self-replicating systems
the PRELIFE program we offer 15 exciting research projects which can be found at www.prelife.originscenter.nl of which the research project of the current PhD position is one. This project aims at uncovering
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technology integrated with a cloud-based platform for real-time data analysis and remote expert consultation. The goal is to create an explainable AI-assisted monitoring system that improves decision-making in