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of this project, in Turin, Naples and London. About You The successful candidate will have a PhD degree or having successfully passed their PhD viva (with corrections is acceptable) and a strong background in
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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
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work. About you Applicants should hold a PhD/DPhil, or be near completion of a PhD/DPhil in structural biology, biochemistry or related area and have gained experience in a wide range of structural
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at the URL https://math.univ-cotedazur.fr/~ingremeau/PostdocNuHeMiBa.pdf We are looking for a candidate with a PhD in applied mathematics, with a strong focus on numerical analysis, particularly in the context
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group with responsibility for carrying out research on the spin-resolved electronic structures of quantum materials, such as topological quantum materials and unconventional magnetic systems, making use
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We are hiring a postdoc to work on in situ evolvable soft electrodes for neural interface applications. The position is in the Soft Electronics group, Laboratory of Organic Electronics, Department
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: Essential criteria PhD qualified in relevant subject area * Experience in cryo-electron microscopy/structural biology sample preparation and data collection Proficiency in Linux command line usage and cryo-EM
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responsibility for carrying out research on the spin-resolved electronic structures of quantum materials, such as topological quantum materials and unconventional magnetic systems, making use of conventional and
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comprise different characterization techniques (e.g. solid-state NMR, low-temperature physisorption of nitrogen, dynamic light scattering, and electron microscopy techniques) to characterize the obtained
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candidate with a PhD in (veterinary) public health, epidemiology, infectious disease ecology, or a related field. The ideal candidate will have a strong background in zoonotic disease epidemiology, preferably