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application! How does AI transform how firms create value and compete? We are launching a new research project to explore how specialised AI models are reshaping the conditions for value creation and innovation
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observational and modelling approaches to ice-shelf processes The doctoral student is expected to: Develop research questions within the thematic scope of Antarctic ice shelf interactions Analyse observational
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research team and support us in our efforts to develop refined preclinical models for high-impact emerging viruses. You will be directly contributing to global pandemic preparedness efforts in a One Health
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model organisms in their work and are pushing into emerging model and non-model organisms that are proving uniquely valuable in particular studies. To learn more about our department, https
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-validated, enabling the conceptual extension of the model toward bilateral CI hearing. Work Plan During the first six months, the work will be structured around four main axes. (1) Computational modelling
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Brain Decoding Models across Subjects School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year round
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laboratory processing of root data Assist in ongoing field sampling campaigns Conduct basic data analysis Collaborate with PhD researchers from the modelling and experimental teams to link data and model
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skills in Matlab and/or Python, R C2 Experience with collection and analysis of EEG and/or fMRI data C3 Experience with Drift Diffusion and/or Reinforcement Learning models C4. Research creativity and
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observations of greenhouse and ozone-depleting gases using models, measurements and inverse methods. The general goals are to determine emissions, transport rates and mechanisms, loss rates and mechanisms, and
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of products that incorporate billions of nanoscale features. Recent publications report our scatterfield microscopy techniques in which extensive electromagnetic modeling, instrument characterization, and data