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Robotic 3D Printing profile and at working level for the Living Material Design and Biological Performance profile, together with relevant programming skills such as Python or C# For the Bioreceptive Design
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++, Rust, Python, or Haskell. Algorithms and their analysis. Simulation, modelling, or energy estimation of computing systems. Embedded, real-time, or robotic software. We expect you to write and speak
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solid academic foundation in quantitative analysis, system modelling, data science or related methods. Experience with programming and data analysis, preferably using Python or a similar programming
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applicants to: Have solid knowledge of econometrics and applied quantitative methods, with experience using Python, R, Stata, or similar tools, and be eager to learn and apply new methods. Be
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socially to the research environment at DIAS and the DDC Code proficiently in R or Python. Be able to communicate project results in English both in writing in academic contexts and to the broader
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foundations in machine learning, linear algebra, probability and optimisation; and strong Python and PyTorch (or comparable framework) skills. Only applicants who demonstrate substantial hands-on experience
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degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis or unsupervised learning is an advantage
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programming skills in Python, MATLAB/Simulink, or a comparable scientific computing environment. A fundamental understanding of energy-conversion systems, thermodynamics, electrical engineering, heat and mass
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PhD Position in Reversible Programming for Energy Efficient Cyber-Physical Systems (MSCA Doctoral...
declarative programming, or other work with languages beyond the mainstream. Software design and development in languages such as C, C++, Rust, Python, or Haskell. Algorithms and their analysis
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advantage. The candidate should be comfortable with scientific programming, for example in Python and common machine-learning frameworks such as PyTorch or TensorFlow, and be motivated to combine