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drawing inspiration from quantum theories. The position is is available from March 1, 2026, or as soon as possible thereafter. Project overview In order to make our cities more circular, we need
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computer science. The candidate is expected to have solid knowledge in most of the following areas: Robotics Control theory Deep Learning & Machine learning Modelling and control of soft/continuum robots Experience
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aims to train a new generation of researchers to advance rural development theory and practice through entrepreneurship. EPHEMERAL explores how entrepreneurs shape rural places over time, considering
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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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generation of researchers to advance rural development theory and practice through entrepreneurship. EPHEMERAL explores how entrepreneurs shape rural places over time, considering life-cycle dynamics, evolving
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possible thereafter. The project explores how moral reasons to worry about inequality and poverty are transformed when wealth becomes extreme and aims to build new theory on the morality of extreme wealth
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because explainability is vital in health and medicine. Moreover, it leverages preferring simpler theories over complex ones if both give comparable levels of accuracy. Furthermore, it leverages the power
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. Preferred Qualifications Experience designing, conducting, and analyzing qualitative interviews Background in phenomenology, as either a philosophical or qualitative tradition Background in emotion theory
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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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students to work on theory of polaritons and light–matter interactions, and in particular topics related to Mie-resonant photonics, electron-beam spectroscopies, chiral polaritons, nonlinear optics, quantum