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students? This participatory PhD project might be your chance! As a PhD you will be involved in a 4 year NRO (Nederlands Regieorgaan Onderwijsonderzoek) funded project that is contextualised in the Learning
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an ARC Discovery Project in conjunction with support from Curtin University. The purpose of the scholarship is to support a PhD student to carry out research in quantum collision theory. Currently
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the electricity generation mix continues to grow. Installed capacity in the UK in 2020 was 13.4 GW and is expected to increase to 40 GW by 2030. Accelerating the adoption of solar energy will present significant
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position The main objective of the project is to create knowledge and expertise to support a sustainable and efficient transition of transport systems to various types of sustainable zero-emission solutions
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in the Danish energy sector. As a PhD candidate, you will join the Energy Markets and Analytics (EMA) Section within the Division for Power and Energy Systems (PES). The EMA Section is renowned for its
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the economics of innovation or digital transformation. Our team is dedicated to exploring the effects of innovation and digital transformation on the economy and society, focusing on how the state can design
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, United States of America [map ] Subject Area: Computational harmonic analysis and machine learning Appl Deadline: none (posted 2024/10/14) Position Description: Apply Today is the last day you can apply for this position
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Department: Department of Bioscience Engineering Regime Full-time Let’s shape the future - University of Antwerp The University of Antwerp is a dynamic, forward-thinking, European university. We
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(e.g., PhD, EdD) in education or other relevant discipline and demonstrate excellence in teaching and mentorship at the graduate level. Experience and expertise in health professions education theory and
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should have very good skills in the English language and a strong background in at least one of the fields relevant for research at ConVeY: Control theory, formal methods in computer science, or machine