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learning can improve software architecture recovery, how to optimize machine learning models at compile and runtime, and autonomous agents for software development. Part of the research is conducted through
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variability in stomatal responses, even in a single leaf under stress conditions where subsets of stomata close while others remain open. Currently, there are no markers to distinguish between these different
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variability in stomatal responses, even in a single leaf under stress conditions where subsets of stomata close while others remain open. Currently, there are no markers to distinguish between these different
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research and implementation teams; • Data Managers who oversee the tracking, cleaning, formatting and compiling of computerized datasets; and • Recruiters who develop and execute a recruitment strategy for
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training a machine learning algorithm on Greenland satellite – model surface melt differences and characterize what atmospheric forcings are most strongly associated with meltwater production biases using
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that will provide high-level requests to be executed. The autonomy concepts must consider the availability of different types of sensors (optical, lidar, inertial measurement unit, etc.), the criticality
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excited to announce an opening for a Postdoctoral Researcher to investigate sex and gender differences in acute clinical care, with a focus on the cardiovascular domain and COVID-19. This position provides
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Biodiversity Change in Europe, a new research topic within Senckenberg. The Synthesis Center has already compiled > 30,000 freshwater biodiversity time series across 30 European countries from rivers and lakes