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Searching for Sterile Neutrinos and other Beyond the Standard Model phenomena with SBND School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Rhiannon Jones , Prof E
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KU Leuven | 2 months ago
-driven modelling approach is envisioned, with the aim to calibrate tidal dissipation in binary evolution models of interacting dynamical rotating stars. Applicants with a PhD degree in astrophysics
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Erasmus University Rotterdam (EUR) | Rotterdam, Provincie Zuid-Holland | Netherlands | about 1 month ago
Surgeon) about the clinical component, Matthijs Spaan ([email protected] -TUDelft EEMCS, Intelligent Systems department) about mathematical modelling, or Yiannis Kyratsis ([email protected]
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division in national and international research contexts Your Profile PhD in Electrical Engineering, Mechanical Engineering or a related field Background in numerical methods, mathematical modeling, and
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Physics-Informed Data Assimilation in Wall-Bounded Turbulence School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Yi Li , Dr Ashley Willis Application Deadline
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PhD Stipend in Digital Twin Modelling and Multi-Timescale Optimization of Electrolysis Systems Apply Vacant position PhD Stipend in Digital Twin Modelling and Multi-Timescale Optimization of
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community ecology, ecological networks, biodiversity, and mathematical and computational modelling. A stimulating research environment combining bioacoustics, ecological theory, mathematical modelling
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. Your profile We are looking for someone who: Holds a PhD in Applied Mathematics, Mathematical Statistics, Automatic Control, Signal Processing, Systems Engineering, Data Science, or a related field
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trypanosomosis (AAT). The role combines quantitative epidemiology, mathematical modelling and field epidemiology. The post holder will undertake epidemiological and statistical analyses of field data
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change over time. This PhD project will explore human-centred multimodal world models for socially intelligent embodied agents . The central idea is to build predictive models that jointly represent