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group develops statistical and machine-learning tools for high-dimensional and spatial data, with a particular emphasis on applications in plant microbiology and microbial ecology. The group partners
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
, spatial computing, computational creativity, text encoding, social media analysis, corpus linguistics, statistical analysis, web development. Confidence with at least one programming language is essential
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, nonparametric modelling, sampling and data collection, spatial and temporal data analysis, statistical finance, or unsupervised/semi-supervised machine learning. The candidate will be expected to teach and
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analysing ecological, chemical and spatial datasets, quantifying trace elements and persistent organic pollutants (POPs) using techniques such as AMA, ICP-MS and GC-MS, and conducting stable isotope analysis
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Texas communities become more resilient over the longer term. To learn more, visit https://idrt.tamug.edu What We Want We seek a highly skilled and collaborative Data Scientist to lead the development and
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or similar areas, and fully comply with the following requirements: The doctoral degree must have been obtained at least 1 year ago; Proven experience in GIS environment analysis (QGIS, ArcGIS, R), statistical
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development to support research on the neural foundations of human memory and spatial navigation. The Software Engineer will develop and maintain custom virtual and augmented reality platforms, behavioral task
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spatial transcriptomics. Provide technical and scientific guidance to graduate students and undergraduate researchers in the B-cell team, for both experimental and the computational work. Assist with
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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of novel probabilistic deep-learning models that automatically extract mechanistic and statistical knowledge from your in vivo perturbational omics data. This interdisciplinary atmosphere has been a main