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. Skills in numerical tools and programming are desirable (MATLAB, python, C++ etc). Any experiences with engineering design, structural/aerodynamic/aeroelasticity modelling, manufacturing/assembly process
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materials synthesis and characterization familiarity with operando or in situ techniques basic programming or data-analysis skills (e.g. Python, MATLAB) experience in collaborative or international research
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Proven laboratory experience and programming proficiency (Python or a comparable language) Ability to work independently and self-reliantly, while maintaining strong teamwork and collaboration skills
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, programming (Python) and advanced data analysis methods Excellent oral and written communication skills in English Ability to communicate results clearly in presentations and in writing Self-motivated and well
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Science, or a closely related field Prior coursework and working experience in data science, machine learning, statistics, or related areas Proficiency in Python for data analysis and modeling, machine learning
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for data analysis, in particular Python, is a desirable skill. Candidates with a strong willingness to learn and apply Python throughout the project are also encouraged to apply. • Good level of
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, Mechatronics, or related. Exceptional candidates with a first-class undergraduate degree may also be considered. Required skills: Strong programming skills (ROS, Python, C++). Experience with wearable sensing or
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related field. Experience in bulk/single-cell multi-omics data analysis and/or drug screen data processing. Experience in R or Python programming. Strong interest in translational cancer research and
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microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle
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with programming languages such as Python, MATLAB, or similar, and are interested in combining analytical modelling with data-driven or AI-based approaches. You are self-driven, curious, and able to work