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in DICOM format and applications in pathology are welcome. The applicant ideally has a track record in interdisciplinary collaborations. Solid experience in programming, mainly python is expected
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analysis. Experience with programming tools like Python and energy system modelling tools like PYPSA is considered an advantage. The successful candidate should possess a curious and interdisciplinary
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to career stage Excellent written and spoken English Programming skills (preferably Python) and experience with optimization frameworks will be considered an advantage Experience with infrastructure modelling
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Programming skills (preferably Python) will be considered an advantage. Experience with infrastructure economics, carbon markets, or large-scale energy infrastructure planning will be considered an advantage
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Python and Java and be able to design and implement scalable software architectures for distributed and cyber-physical energy systems. Assistant Professor Applicants at the Assistant Professor level are
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characteristics: be self-motivated, having a can-do attitude, willing to learn be able to program in C plusplus; ; and/or Python be at least familiar with ROS2 and Linux have decent understanding of robotics
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with Robotics Excellent programmer in Java / C / Python / ROS or equivalent Excellent at using Machine Learning software, e.g. PyTorch / TensorFlow / Scikit Learn Highly knowledgeable in mathematical
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or another field that provides a sufficient degree of background in computer science, artificial intelligence, mathematics and data science. Fluency in English, Python, and C/C plus plus are required
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data collection for assembly tasks. Defining robot experiments in simulation and on the real systems. Robot programming in python. We are interested in candidates that can cover both areas as
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skills (mandatory): Strong understanding of sustainable AI or related areas Experience of programming in Python / C / Java or equivalent Experience with using Machine Learning software, e.g. PyTorch