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Kuncic . As Postdoctoral Research Associate in Neuromorphic encoding for biological neurocomputation you will be involved in developing a physics-aware neuromorphic interface to translate input digital
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of ageing. This is a molecular and cellular research project that is expected to generate new insights into brain metabolism, how glial cells and neurons communicate, and how these processes break down in
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sustainable, electrified alternative to the Haber-Bosch process. You will design hybrid catalyst systems (heterogeneous and homogeneous), engineer innovative electrochemical reactors, and pioneer radical
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experimental effort, including superconducting qubit measurements, development of a cryogenic cosmic-ray detector, dilution refrigerator operation, and nanofabrication of radiation-resilient qubit designs, with
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environments investigate system-level mechanisms, including stability, path dependence, lock-in, and performance or creativity degradation in socio-technical decision processes design and implement quantitative
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, development of a cryogenic cosmic-ray detector, dilution refrigerator operation, and nanofabrication of radiation-resilient qubit designs, with access to Rigetti Computing 's quantum processor through
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decision-making processes evolve, stabilise, or degrade in complex socio-technical systems. Essential qualifications and experience a PhD (or near completion) in one of the following fields (or a closely
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Associate (Ion Channel & Receptor Physiology) who has: a PhD in neuroscience, physiology, pharmacology, or a related discipline strong hands‑on experience in electrophysiology and/or calcium imaging
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Associate (Ion Channel & Receptor Physiology) who has: a PhD in neuroscience, physiology, pharmacology, or a related discipline strong hands‑on experience in electrophysiology and/or calcium imaging
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performance Optimise power/energy usage throughout the process The outcome will be to optimise the manufacturing process on the micro-pilot scale to improve efficiency and product quality. About you PhD in data