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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
your previous research, your vision for the future of your career and your motivation to work on this project; 2) a curriculum vitae including (if applicable) the list of publications or PhD thesis
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systems, and control with a PhD degree from a university in Computer Science, Robotics, Mechanical Engineering, or related fields, with a proven track record in robot navigation control or deep learning
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outstanding experience in mechatronics systems, and control with a PhD degree from a university in Computer Science, Robotics, Mechanical Engineering, or related fields, with a proven track record in robot
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such as reality capture, quality assessment, 3D modelling, computer vision and computational design in the built environment, operating at the intersection of construction informatics, engineering, and
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Role Requirements: • PhD in Oncology, Molecular and Cellular Biology or related subject area (PhD students in the last year of their thesis work, are eligible to apply). • Hands on experience with
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Essential requirements: • PhD in functional genomics, cell biology, molecular biology, computational biology, or related field. • Strong expertise in mammalian cell culture, gene editing and
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implement scanning, scan-to-BIM, and computer vision strategies for reality capture of the building stock Use immersive technologies to enhance construction processes and training Publish findings in high
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as well as at national and international conferences and through written publications in high-impact scientific journals You will actively participate in brainstorming the group’s vision and strategy
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. Supervision of PhD, Master, and/or Bachelor students. Teaching computer vision for construction. Profile To be considered for this position, you should meet the following qualifications: Hold a PhD in computer
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the framework of an SNF-funded project, titled “Restoring high-resolution vision using optogenetics”, explanted human retinae will be investigated and recorded from by means of CMOS-based high density