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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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dimensional structures of proteins impact codon choices in coding genes. The recruited doctoral student will develop methods to broadly study patterns of codon usage across organisms and apply large scale
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in the area began in the mid-1980s and currently includes (i) Geometry and computer vision (including analysis of video, audio, radio, and radar signals), (ii) Medical image analysis, and (iii) Machine
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areas and from aviation authorities. Popular outreach and contributions to the groups website and video channel. Qualification requirements Appointment to a post-doctoral position requires
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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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tools, version control (Git), and collaborative coding (strong merit) Strong understanding of statistics and machine learning for high-dimensional data (strong merit) Experience with workflow management
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organisms, to uncover why and where conservation of codons is central to organismal fitness, and how the three dimensional structures of proteins impact codon choices in coding genes. The recruited doctoral
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to pipe flow, compressed air systems, or environmental technology will be considered an advantage. In an overall assessment of suitability, emphasis is also placed on personal abilities. All employees
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grounding, in other words, the linking of elements of natural language (words, phrases, or sentences) to visual inputs (such as images or video) in a meaningful way. The position is part of an on-going
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is, however, the transportation and storage. Current methods rely on liquid compressed hydrogen, which requires high pressures or low temperatures. This project will computationally explore catalyst