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Field
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of smart technologies to visualize yard operations in a digital form (such as virtual models and digital twins). Smart technologies can collect, analyze, and represent data from various sources
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for simulating flow and pressure response, as well as thermal storage. Also analyzing new and existing data and calibrating models. Duties of the position Complete the doctoral education until obtaining a
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models to resolve blade loads and structural responses under both operational and extreme conditions, including scenarios with partial out-of-water exposure Uncertainty quantification to ensure robust and
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mechanisms for substation protection using digital technologies both in simulations and in a laboratory environment. How to facilitate the use of protection and control systems in the substation? How
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management using (and adapting) petroleum/CO2 storage tools for simulating flow and pressure response, as well as thermal storage. Also analyzing new and existing data and calibrating models. Duties
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metamorphic conditions, the exact mechanisms (dissolution–precipitation vs. dynamic recrystallization vs. mechanical transport vs. partial melting), the extent of mobility and role of fluids remain debated
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climate variability is a key driver of species’ range dynamics and a general predictor of sensitivity to climate change with a focus on mountain areas globally. More specifically, the project will
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in vitro models Validation of GreenNanoBone hydrogels in disease models of Medication-Related Osteonecrosis of the Jaw (MRONJ) using patient-derived cells Development of advanced in vitro and 3D MRONJ
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Hardware-in-the-loop testing) and control-in-the-loop testing will be an advantage. Experience with stability studies based on state-state modeling of power systems will be merited. Personal characteristics
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knowledge about natural resource management Knowledge of software R Strong skills and/or interest in mathematical and statistical modelling is a strength Ability to conduct field work in remote alpine areas