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, data analysis and programming skills (e.g., R, python, matlab, etc). We seek candidates that are team players who can play active scientific and social roles in a diverse and international lab setting
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analysis skills (e.g. Python, machine learning methods). We are looking for a person who can work independently but also thrive in a collaborative project team. It is an advantage, but not a
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generative models Is highly proficient in Python, PyTorch and/or JAX Has experience training large-scale neural networks on HPC or GPU clusters Has experience with representation learning and sequence or
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interest in AI, machine learning, and NLP. • Experience or education in health data science or a health-related field is a plus. • Strong programming skills in Python with the ability to
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to the research environment at 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 public (Danish and
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integration). Perception and machine learning for robotics. Software design and development (C, C++, Python), including real-time and embedded systems. UAS operations (experiments, piloting). We
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Computational Engineering profile, together with relevant programming skills such as Python or C# For the Computational Design and Robotic Fabrication profile: practical experience in robotic
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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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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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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