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Field
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. The ideal candidate holds a PhD in transport, operations research, civil engineering, or a related field, with strong skills in mathematical optimization and modelling (ideally in Python) and an interest in
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validate theoretical models exploring the connection between thermal conductivity and electronic mobility in different classes of material. • Study the mechanism of polaron formation and dynamics
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. This large multimodal dataset allows us to estimate and test different computational models of the decision and learning processes. One postdoc is currently working on the MEG and iEEG data, and one PhD
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from around the world are tackling global issues and making a difference to people's lives. We believe that inspiring our people to do outstanding things at Durham enables Durham people to do outstanding
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of different management histories based on both mushroom inventories and DNA-barcodes in soils. We will also attempt to unravel the ecology of CHEGD fungi based on field experiments based on stable isotopes
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discipline. A strong curiosity for human gait and neuromuscular control after stroke. Experience with wearable-sensor (IMU) data and human motion analysis. Solid programming skills (ideally, in Python
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programming skills (e.g., Python) for algorithm development, data analysis, and computational modeling. Experience with, or affinity for, clinical/experimental gait data from neurological populations (stroke
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. Solid state physics; thermodynamics and kinetics; Python coding and machine learning skills. Additional Application Materials Required: Special Instructions to the Applicants: The Ph.D. must be conferred
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wearable-sensor (IMU) data and human motion analysis. Solid programming skills (ideally, in Python) for algorithm development, control design, and data analysis. Confidence and interest in testing and
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vision, and/or synthetic data generation for model training. Solid programming skills (e.g., Python) for algorithm development, data analysis, and computational modeling. Experience with, or affinity