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Field
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information theory: designing and analysing error-correcting codes, establishing fundamental performance limits, and building practical decoding algorithms and architectures. Your research will sit at
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molecular cores at different evolutionary stages (i.e., pre-stellar, collapsing and star forming); you will correct each observed spectrum for the contribution of stellar photospheres; and they will model
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collection from both experimental and numerical sources, gathering relevant test and simulation data available globally, organizing the collected data to support model and control algorithm development and
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courses related to AI/ML, programming languages, data structures and algorithms, operating systems, network security, visualization, and human-computer interaction, as well as participate in the full range
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and build a light-sheet encoded-illumination microscope Characterize the system Sample Chamber Development Development of Decoding Algorithms Single-Plane SR Imaging Volumetric Imaging of selected
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algorithms for digital health and AI-driven research projects. Lead technical innovation by exploring and implementing emerging AI methodologies. Support data platform development and retrospective data
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to evaluate and advance machine learning algorithms for one of the following application areas: “Characterising forests variations in relation to distance from pre-Columbian earthworks in the Amazon forest
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statistical aspects Experience in next-generation DNA sequence analysis, preferably including long-read ONT data An interest in linking molecular mechanisms to evolutionary and ecological concepts The capacity
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to work) in reduced order modeling, Causal inference and High Performance Computing are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation
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implications of artificial intelligence, algorithms, digital platforms, or other emerging technologies. Such research may advance data science methods, deepen our understanding of economic effects of new methods