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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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that the total time used for research training amounts to three years. We process personal data given in an application or CV in accordance with the Personal Data Act (Offentleglova). According
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methods such as multiple imputation. Candidates will ideally have experience of using tools for collaborative and reproducible research (e.g., GitHub, Overleaf), and in simulating complex data. The post is
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address and telephone number); c) Copy of the academic qualification certificate¹; d) Declaration of honour stating that the candidate is eligible for enrolment in the Doctoral Programme in Geology or in a
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: The appointee will be involved in the full lifecycle of research projects, from study design to publication. This includes development of machine learning models, computer simulations, and app/software
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modeling/simulation tools (e.g., MATLAB/Simulink, Modelica, and COMSOL Multiphysics), energy systems analysis/optimization/programming software (e.g., HOMER, GAMS, and Python). Evidence of previous
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structural components iv. Data acquisition, instrumentation and monitoring during laboratory testing Perform numerical modelling and simulation, such as finite element modelling, parametric studies, and
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robotic systems. Conduct experiments in both simulated and real-world environments, testing AI-driven robotic behavior. Work with hardware platforms, including robotic manipulators and mobile robots
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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-driven surrogate models for real-time reconstruction and forward simulations. Create numerical algorithms for physics reconstruction using sparse data. Implement assimilation pipelines which integrate