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on modelling of the transport, electrochemistry, and mechanics of next-generation lithium/air electrode materials and cell architectures. Using input data from experiments, the post holder will develop and
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elucidation, with the aim of understanding their function and dynamic mechanism. One key focus lies on the understanding of neuronal ion channels, their regulation through other proteins, small molecules and
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Contract type : Fixed-term contract Level of qualifications required : PhD or equivalent Fonction : Post-Doctoral Research Visit About the research centre or Inria department The Inria centre
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 6 days ago
external funding (e.g., travel grants, PhD fellowships) We offer A securely funded position with an internationally competitive postdoctoral salary, outstanding employee benefits, and a family-friendly
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-temporally cooperate to result in an emergent macroscopic flow. Besides the immediate applications of the work to soft matter physics, and potentially also to the fracture mechanics of hard materials, yielding
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immunotherapy for basic and translational research in the laboratory of Dr. Xue Zhong Yu. A qualified candidate is expected to have a strong publication record and excellent references from PhD or postdoctoral
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glass nanoparticles using flash joule heating (FJH) and understanding fundamental charge transfer mechanisms in energy storage systems. Expectations Candidates will be responsible for developing advanced
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interdisciplinary environment, first-class mechanical and electronics workshops, and access to the King’s core facilities network. King’s is committed to an inclusive, supportive research culture. Researchers benefit
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on the development and piloting of Ecological Momentary Assessment (EMA) items tailored for young people, to better understand the cognitive, emotional, and behavioural mechanisms that place them
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, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering