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analytical skills and experience integrating quantitative and qualitative data. Have good programming skills (e.g. in Python, SQL, Java, JavaScript, etc.). Ability to conduct high quality academic research
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Python, C# (preferably across design-related APIs), and using Git. Experience developing plugins or toolsets within parametric modeling platforms like Rhino/Grasshopper, or similar. Knowledge of digital
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(hybrid) quantum computing, reflected in demonstrable outputs, for instance, by a relevant PhD thesis and/or publications. Proficiency in Python and quantum software development kits (e.g., Qiskit
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, partialdifferential equations, scientific computing, deep learning.•Solid programing skills. Knowledge of Python, Tensorflow/Pytorch, and Mathematica.•Fluent in spoken and written English. Good communication skills
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, Python, Julia, MATLAB). A research-oriented attitude. Ability to conduct high quality academic research, reflected in demonstratable outputs. Ability to be self-propelling and drive your own research