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machine data analytics to new harvesting system designs. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ), a world leading centre for
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combining multi-source, remotely-sensed data streams towards improved biomass, carbon-pool sequestration, multilayer fuel load, mapping key fuel variables and fuel models through data fusion that can be
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performance, detect artefacts, and ensure scientific rigor Proficiency in Python (or Julia/R) for data handling, ML model development, and statistical analysis Ready to work with time‑series data, sensor fusion
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of the position is the use and extension of the TU Delft Astrodynamics Toolbox (Tudat) open-source astrodynamics toolbox for state estimation and orbit/parameter determination, enabling rigorous fusion
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specific research Centre, of which there are twelve totals. Information regarding the research Centres, their activities and production are available at http://www.fbk.eu/research-centers . In particular
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of the compressed data at a fusion center. The work will also include participation in WP6 through the integration of selected algorithms in one testbed. As part of these activities it is expected that the researcher
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granules within axons? How do RNP granules regulate their size and prevent fusion in order to maintain separation of mRNAs? To answer these research questions, both projects will utilize dCas13d-mediated
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maintained in MN axons? How much exchange of RNA-binding proteins occurs between different RNP granules within axons? How do RNP granules regulate their size and prevent fusion in order to maintain separation
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granules regulate their size and prevent fusion in order to maintain separation of mRNAs? To answer these research questions, both projects will utilize dCas13d-mediated proximity labeling to identify