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). General information A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you wish to be exempt from entry on the public
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comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus Strategic thinkers with demonstrated interests in strategic games and/or competitive
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comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus Strategic thinkers with demonstrated interests in strategic games and/or competitive
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excellent logical reasoning and a passion for turning data into decisions Clear communicators in a fast-paced and highly collaborative environment Programmers comfortable processing and analyzing large data
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disorders, ideally idiopathic scoliosis experience with data analysis using software such as Stata or R experience with processing and managing large data sets excellent academic writing skills Personal
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and analyzes quantitative and qualitative data on the firms’ pro bono efforts related to human rights, environment and climate change, and migration. PROBONO seeks to understand these dynamics and their
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robots -Distributed task planning for collaborative missions -Behaviour tree based multi agent collaboration -Reactive task allocation in large scale missions For further information about a specific
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. -Mission-specific modules such as autonomous firefighting, sampling, rescue operations, or large-scale mission planning. For further information about a specific subject see general curricula for the Board
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25 (2) of the Freedom of Information Act (offentleglova), information concerning the applicant may be made public, even if the applicant has requested not to appear on the list of applicants
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battery systems or distributed energy resources. This will include benchmarking data models, and deploying and testing these techniques in real-world, large-scale deployments. Contributing to setting