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subject. Proficiency in C++, Python, and ROS 2 is required. Strong scientific skills with proven excellence in real-life experimentation, as well as very good communication skills, are considered a strong
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Qualifications To be qualified for the position, you must have an MSc degree in Electrical or Mechanical Engineering, Computer Science, or a related subject. Proficiency in C++, Python, and ROS 2 is
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open-source; Optimization of building energy consumption, both electrical and thermal; Modelling, optimization and/or control of either buildings or energy systems; Programming in Python, MATLAB, or
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following areas is considered an extra merit: Sensors and embedded systems Reconfigurable and flexible production systems General programming skills, particularly Python Computer vision, artificial
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experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, Python etc.). You should have a strong vision to evaluate and demonstrate the research findings in real life operating
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: Documented Expertise in Computational Biology and data analysis (eg. using R and Python) Expertise using Unix, bash Good organization of scripts and workflows (e.g., GitHub, Nextflow) Motivated to evaluate
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communication skills in written and spoken English We consider it a merit if the candidate has skills in programming languages (e.g. python, R), has experience in fieldwork and has a driving licence. In the
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demonstrated the ability to conduct high-quality research in high-dimensional statistical theory, from both theoretical and applied perspectives. Strong programming skills in R, MATLAB, and Python are
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. Additional qualifications Relevant postdoctoral studies or equivalent industry experience are a strong merit but not a requirement. Programming knowledge in Python, and experience of data science
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using and maintaining ultrahigh vacuum instrumentation. Experience in programming in e.g. Python. Demonstrated ability to work independently. Excellent command of the English language, good