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Field
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mechanics, or advanced material behavior. Programming skills (e.g., Python, MATLAB, Julia,..), ideally with experience in numerical methods or scientific computing. Familiarity with machine learning
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analysis. • Hydrological and hydraulic simulation. • Machine learning, including unsupervised clustering and predictive modelling. • Working with large, complex, multi-source datasets using MATLAB, Python
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have experience with the usual tools for advanced experiments: programming experience: Matlab, Python, LaTeX. You have excellent command of written and spoken English. What we offer: Inspiring working
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the analysis and simulation of analog, digital, or mixed-signal circuits, including SPICE and related tools (LTspice, Cadence, MATLAB, Python) Excellent communication skills and ability to work in a team are
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, MATLAB) is a strong plus but not strictly required. -A 4-year, fully funded PhD position supported by an ERC Starting Grant.-An initial 1-year contract, extended upon positive evaluation.-A stimulating
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machine learning You have good programming skills in Matlab, Python You have proven your proficiency in English language equivalent to B2 level You are enthusiastic and result oriented You can work
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that connects engineering and clinical application. You have programming experience in Python, MATLAB, or similar languages. You are motivated, collaborative, and communicative. Additional Information Benefits
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. Programming experience (e.g. Python, MATLAB, C/C++). Desirable (but not required): Background in control theory, dynamical systems, optimisation, or machine learning. Experience with robotics, ROS, simulation
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Matlab, Python or similar. The position is located at Curtin University in Perth, WA Application process Please contact us via the EOI form with the following Curriculum vitae Academic transcripts A brief
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or data-analysis skills (e.g. Python, MATLAB) experience in collaborative or international research environments We offer you an exciting and interdisciplinary research environment within the BlueMat