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mathematics or a related field, strong written and verbal communication skills in English, proficiency in mathematics, and experience programming in Python, C++ etc. *for students with an education earned
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related field, including courses in hydraulics/fluid mechanics. Knowledge of Python programming, machine learning (ML) or AI is a plus. Experience in hydrodynamic modelling of water systems is required, and
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with one or more programming languages commonly used in Human-Robot Interaction research (Python, JavaScript) Desirable qualifications: You have experience programming robots (e.g. using ROS) You have an
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English. Solid programming skills in Python. Experience in machine learning or deep learning implementation. Meritorious qualifications Experience in image analysis. Experience with large language models
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spoken English Dedication and a strong desire to learn Merits: Programming skills in Python and machine learning Knowledge of data processing Familiarity with numerical analysis of ship performance and
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learning, AI, or statistical modeling. Proven ability to handle large and complex datasets, including preprocessing and integration. Strong programming skills (e.g., Python, R, MATLAB, or similar
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fluid dynamics and vascular modeling in microenvironments Skills in data analysis and image processing (e.g., Python, R, ImageJ) Ability to mentor junior researchers and contribute to team leadership What
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robotics, machine learning, and control is essential. Applicants should also demonstrate: High academic achievement in relevant undergraduate and graduate courses Proficiency in programming (C/C++, Python
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Engineering, Physics, or neighboring fields (obtained before employment begins) Excellent communication skills in written and spoken English Ability to program in high-level languages such as Python and C/C