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of focus are robotics for mines, construction sites, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and multirobot coordination, including multirobot
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written and spoken In a holistic assessment of suitability, the following personal attributes will also be considered: Ability to work independently and in a structured manner Strong collaborative skills
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universities. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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research with a focus on interactions between plants and microorganisms in forests and agriculture. Central questions concern the population biology and community structure of microorganisms, their functions
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140 PhD students at CSE. Your main supervisor will be Prof. Nir Piterman, with support from a co-supervisor and an examiner. Supervision is structured to guide your academic development, with regular
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(DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global
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, construction and production; and works with the entire product realization cycle from the idea stage to the physical realization of products and production systems. This includes both technical design aspects
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School. DDLS uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
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novel structural biology techniques with the aim to understand membrane protein transport and regulation with applications in heart disease and antimicrobial resistance. The group has pioneered
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to effectively compile linear algebra expressions when the matrix sizes are unknown at compile-time. The project aims to address the problem using e-graphs. An e-graph is a data structure commonly used in