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includes data analysis, filtering of large amounts of data, etc. It is also important to have a solid understanding of mining and mining systems in order to understand the end-user requirements and needs
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prediction tools, such as AlphaFold2 or Rosetta, including multimeric complex prediction. You have experience of microbiome sequencing, genome mining, or metagenomic data analysis. You have worked with host
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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are robust, especially in the selected industry use cases. This staff scientist position is linked to the research group Deep Data Mining in the department of Computing Science, which focuses on fusing data
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the team has a strong expertise in field robotics. Specific application areas of focus are robotics for mines, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial
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the team has a strong expertise in field robotics. Specific application areas of focus are robotics for mines, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial
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are robotics for mines, construction sites, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and multirobot coordination, including multirobot perception
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mining. Project description The knowledge of the mechanical behaviour of tailings is the background of all safety and risk analysis related to tailing dams independent of their construction methods. It is
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into protein databases (FASTA) to be used in mining raw Mass Spectrometry Proteomics data. The aim is to generate novel knowledge about the tumor biology, discover tumor antigens, and associate the findings with
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and mining. Project description In cold regions, linear infrastructure is often affected by frost heave in the ground, which can lead to cracking and uneven deformation. Significant frost heave during