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Field
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geoscience, energy systems, materials modelling, fluid dynamics, and other scientific and engineering domains where data-driven models must interact with physical knowledge. Such problems raise fundamental
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systems, controllable loads); • Dynamic reconfigurations related to changes in topology and operating mode (connected/islanded); • The increasing interactions between physical and digital layers (sensors
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, structural dynamics, vibration measurement and analysis, structural health monitoring, data science or related fields. Programming skills in one or more scientific computing environments, such as Python
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Modeling: Generating and maintaining patient-stratified iPSC lines and innovative 3D "brain chimeroid" models. o Advanced Neurophysiology: Assessing functional network activity and synaptic dynamics using
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a circular and low-carbon economy. The PhD is expected to cover: Developing dynamic material flow analysis (dMFA) models to quantify steel stocks, flows, scrap generation, and scrap quality across
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-to-event analysis; and statistical machine learning in general. OCBE has numerous collaborations with leading biomedical research groups in Norway and abroad. This PhD position is also embedded in
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. Experience working with animal models and handling biological samples. Experience in the analysis of genomic, transcriptomic or epigenomic datasets. Strong organisational skills, scientific curiosity and the
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competences in one or more of these categories: railway/structural engineering, structural dynamics, vibration measurement and analysis, structural health monitoring, data science or related fields. Programming
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, motion tracking, elastography, and biomechanical analysis of aneurysms, with the goal of improving patient-specific rupture risk assessment beyond traditional diameter-based metrics. Your work will be
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:•Generic competences: dynamic; organizational skills; result-oriented; communicative; convincing; accurate; analytical; team-worker; independent; problem-solver•An exploratory and curious scientific mindset