317 estimation-methods "https:" "Computer Vision Center" Postdoctoral positions in United Kingdom
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, methods-led research career at the intersection of advanced analytics and applied mental health research, within a highly collaborative and multidisciplinary environment. About the role The PDRA will be
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, methods-led research career at the intersection of advanced analytics and applied mental health research, within a highly collaborative and multidisciplinary environment. About the role The PDRA will be
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building cutting edge machine learning techniques
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applies quantum mechanics-based methods for the description of condensed matter systems, including the successful software package VASP (Vienna ab-initio Simulation Package). We focus on the development
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our award-winning work in Disability Inclusive Science Careers: https://disc.hw.ac.uk/ . Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value
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novel methods across evolutionary analysis, mathematical modelling, micro-scale experiments and 3D printing. You will have a PhD (or close to completion) in biophysics, bioengineering, mathematical
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-generation wireless, geolocation and AI-enabled communication and networking systems. In these roles you will undertake research centered on the intersection of networking, communications, geospatial methods
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spectroscopy methods (Operando XPS/XAS, Hard XPS) to probe the interfacial reactions occurring in Li-ion batteries. Further information about the research group can be found at: https://emi.materials.ox.ac.uk
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Springmann, you will develop and apply global food-system models, integrating data and methods from across disciplines to assess pathways towards healthier and more sustainable diets. You will contribute
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, Future Energy Systems and Advanced Materials, Electronics and Communications) and eight Research Nodes which group staff under technical expertise and interest (see https://www.durham.ac.uk/departments