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qualifications required for employment as associate professor. The Computer Vision Laboratory (CVL) is looking for an assistant professor in machine learning with a focus on motion analysis from video. CVL is a
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, manage infrastructure as code, and troubleshoot source code. If you have a solid foundation in Unix/Linux and are ready to dive into complex technical challenges, then you are the one we are looking
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YouTube-videos about life as a student in Sweden/LiU, and tasks for the International Office, might be available. The person we need We are looking for students currently studying on an international degree
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transient absorption spectroscopy. Proficiency in ultrafast laser pulse compression, including pulse characterisation techniques like FROG and autocorrelation. Good coding skills (e.g. Python, MATLAB, LabView
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PDF, video or website. It is also an advantage if the applicant has or can demonstrate an interest in working with digital software for visualizations, e.g. Unreal Engine or other lighting software
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, demonstrated experience of coding in programming languages such as R and Python is considered particularly advantageous. Examples of computationally intensive methods central to IAS and IDA are data-driven text
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, demonstrated experience of coding in programming languages such as R and Python is considered particularly advantageous. Examples of computationally intensive methods central to IAS and IDA are data-driven text
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application! We are looking for one or two PhD students in Multiagent Automatic Control at the Information Coding Division (ICG), which is based at the Department of Electrical Engineering (ISY). You will be
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solid experience in coding with R, analysis of metabolomics and proteomics data, as well as in machine learning. You also need to have good knowledge of magnetic resonance spectroscopy and multiple
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into consideration. We are looking for someone with a background in environmental governance or a related field, and documented scientific skills in: coding of policies and instruments. survey methodology within