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associate to carry out research on machine spatial reasoning. The appointment is for one year, renewable for a second year, given the availability of funds. The focus is on developing tools for characterizing
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geography of Italy and Europe, the identification of the most appropriate spatio-temporal statistical methodologies is required for this purpose. Where to apply Website https://jobmarket.unibocconi.eu/?id=873
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locomotor gait (using the Catwalk and Motorater equipment), spatial memory test (Y-maze). The software Anymaze to acquisition and analysis of behavior will be used for this purpose. Administration
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employees. More information can be found here . Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods
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postdoctoral researcher focusing on mathematical modelling of data and statistics within the Czech Science Foundation Junior Star project Socio-Spatial Situatedness of Roman Professions and its Impact on
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statistical and quantitative modelling. The successful candidate will contribute to projects on flow-ecology relationships and habitat suitability modelling for freshwater organisms and will be comfortable
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learning, statistics, data science, applied math and/or other quantitative backgrounds who are enthusiastic about bringing their expertise to address fundamental problems in biology and medicine using
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Learning methods for modeling spatial and spatio-temporal data, including point pattern data, possibly observed over complex domains. The candidate will specifically consider physics-informed statistical
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the occupational risks faced by inhabitants of the Roman Empire influenced their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, statistics, and the
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-dimensional catalog of approximately 30 million galaxies to analyze their spatial distribution and statistical properties, measuring the fundamental cosmological parameters that govern the evolution