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university-level communication campaigns and PhD Network initiatives including Industry PhD, Dual PhDs, the Interdisciplinary PhD and future niche programs. Qualifications : PhD in learning science or higher
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that exploit Deep Learning structure prediction methods for the benefit of structural biologists. The work, in collaboration with CCP4 partners and building on preliminary data, will develop software to validate
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, and evaluation The ideal candidate will lead their own project, and also collaborate with and support 1-2 PhD students on their projects. The ideal candidate will also be interested in learning
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is therefore expected to acquire unique expertise and skills in research areas such as relativistic quantum chemistry/physics and computer science. Duration and Salary The position is a fixed-term
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for improving the computational prediction and modelling Teach and disseminate your knowledge Furthermore your key tasks as a PhD-student will also include: Carrying through an independent research project under
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both machine learning and symbolic AI. The discovery of new solid electrolytes is a core project target. You will have a PhD in Chemistry, Physics or Materials Science. The post is available from 1st
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an open post-Doc position in mobile communication systems. More details about this opportunity are presented below. Requirements: a) Researcher with PhD degree in electrical engineering or related areas; b
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diagnostic tools to support the managements of patients with stroke. This is a unique opportunity to work in a multi-disciplinary, collaborative environment at the interface of AI, machine learning
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in Physics, Electrical Engineering, Material Science or closely related field in hand
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of Oxford and Valencia, on a large-scale European project. The focus of the postdoc project will be on using advanced numerical simulation modeling software and machine learning techniques to quantitatively