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- NTNU Norwegian University of Science and Technology
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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Background in programming (Matlab, python, …), familiar with Multi-body dynamic tools and good knowledge
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. You will become part of a dynamic, collaborative working environment with expertise in drilling engineering, geomechanics, machine learning, and energy systems. The project will integrate real‑time
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second[1]. However, Pockels-tunable laser archetypes relying on high-Q optical microresonators have thus far only achieved limited output powers, are difficult to operate and stabilize due to the dynamics
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wells, seasonal thermal energy storage, and concepts such as GeoTermos. You will become part of a dynamic, collaborative working environment with expertise in drilling engineering, geomechanics, machine
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. The successful applicant will join the research group Statistical learning in molecular medicine and the high-dimensional statistics environment at OCBE, and be part of a multi-disciplinary research consortium
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). The overall goal of ClimACTox is to address the consequences of long-term effects of climate change, pollutants and seasonal distribution on the population dynamics of Arctic seabirds. The specific research
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and fundamental knowledge in mathematical modeling of robotic systems, mechanics, kinematics and dynamics, control Solid background or experience in programming in C++, MATLAB or similar platforms
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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
) or higher in the final MSc project is also required. Strong analytical skills and fundamental knowledge in mathematical modeling of robotic systems, mechanics, kinematics and dynamics, control, communication
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these representations can be combined with concepts from physics‑inspired machine learning, drawing on statistical physics, dynamical systems, and stochastic processes, to design robust, interpretable, and mathematically
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for the position. Preferred selection criteria Experience with numerical modelling of structural or aeroelastic systems Experience with structural monitoring or experimental structural dynamics Experience with data