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the Life-cycle – is a Marie Sklodowska-Curie Doctoral Network (MSCA-DN) funded under Horizon Europe. The project aims to train a new generation of researchers to advance rural development theory and practice
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of research areas that a scholarship might cover: Accounting and AI Auditing and AI Management Accounting and AI Auditing Financial Accounting Accounting Theory Accounting Regulation Financial Statement
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of the following areas: Robotics Control theory Deep Learning & Machine learning Modelling and control of soft/continuum robots Experience with embedded systems programming (Preferably) with a strong background in
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of quantum programming languages and categorical quantum theory. The Department of Mathematics and Computer Science is an inclusive and international working environment with state-of-the-art facilities and
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and international scientific venues. Your competencies The successful candidate will have a Master’s degree (or equivalent) in Electrical Engineering, Robotics, Control Theory, Computer Science, or a
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funding organization dedicated to frontier research of the highest quality. The aim of the project is to make significant advances in the theory of algorithms, specifically on parameterized algorithms and
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leading universities and non-academic partners will train 14 doctoral candidates in cutting-edge methods, theory, and transferable skills. More information may be found on the ENERPOL website: https
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to advance rural development theory and practice through entrepreneurship. EPHEMERAL explores how entrepreneurs shape rural places over time, considering life-cycle dynamics, evolving local contexts, and
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cognitive psychology. The PhD student will be a member of the research group in Applied and Interdisciplinary Phenomenology. The group includes several postdoctoral researchers with backgrounds in philosophy
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of codes/models simulating the nucleation and propagation of stress corrosion cracking in samples under low cycle fatigue conditions, as well as models for linking the microstructure from the AM process to