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preferences, individual differences, and the relationship between objective acoustic indicators and subjective perception. The resulting knowledge will guide the development of intelligent acoustic sensing
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deployment scenarios to evaluate future steel production pathways and circular economy strategies up to 2050. Quantifying the environmental impacts of primary and secondary steel production under different
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, and increasing data complexity, as well as how monitoring approaches can be designed to remain effective across different marine contexts and scales. The successful candidate will contribute
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analysis. You master programming in for example Python, MATLAB, or a similar platform and you are motivated to further develop your skills in scientific computing and hyperspectral data processing. You have
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. preferred. Candidates should have proficiency with basic computing packages such as MS Word and Excel and will have some familiarity with one or more of the following (Linux, MATLAB, SPM, FSL, fMRI). Strong
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-Mechanical System Design, or a related field Experience with modelling of mechanical and hydraulic systems Ability to develop and analyze dynamic system models using MATLAB/Simulink and Python or similar tools
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trajectory tracking, heading control, speed control, path following, disturbance rejection, adaptive control and control allocation for different propulsion layouts. The work will address the challenges
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computing (e.g., Python, Matlab, C++ or similar) Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Enjoy working both independently and as part of
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modeling Structural dynamics analysis Rules and design guidelines for structural engineering Blast, impact or shock loading Programming and scientific computing (e.g., Python, Matlab, C++ or similar
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frameworks. Further, it would be advantageous for applicants to demonstrate proficiency in at least one scientific programming environment such as Python, MATLAB, or R. A good understanding of hydrodynamic