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data (nationwide LiDAR coverage at 50 cm resolution). The candidate will perform quantitative morphometric analyses of landscapes and river networks near suspected active faults using GIS tools, Python
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modeling with SUMO. Programming transport modes with Python. Integration of climate constraints into a transport model. Emergency and disruption management. Where to apply Website https://sede.uvigo.gal
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robots for facade operations. Programming in MatLAB and Python. Navigation in GNSS-denied environments. Publicacion of scientific papers. Development of project deliverables. Where to apply Website https
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experiment on a metric-scale concrete wall, using the multi-physics NDE probe integrated onto drone platforms. Expected Results A Python-based multi-physics Maching Learning framework for NDE characterization
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past successes: https://europepmc.org/article/MED/35021063 , https://europepmc.org/article/MED/31819264 , https://europepmc.org/article/MED/31561945 , https://europepmc.org/article/MED/39747019 , https
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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of using Python or R Very good written and spoken English (min. B2) In addition, the following criteria are desirable: basic knowledge of analytical chemistry, neurobiology, or behavioural ecology Experience
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recruited on the project. Full information on the two positions is available at https://jobs.ethz.ch/job/view/JOPG_ethz_yFljDVyQe8rGR1wwVL . The first doctoral candidate will work at ETH Zurich. The present
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mathematics Proficient in programming (Python and C++) Fluent in written and spoken English; knowledge of German is an asset Strong analytical and independent working style Excellent teamwork and communication
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@cuhk.edu.cn Group information: https://sites.google.com/view/qlmgroup/home Information about the group leader: https://sse.cuhk.edu.cn/en/faculty/sanjibghosh The Chinese University of Hong Kong, Shenzhen is