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from researchers with a PhD in demography, sociology, statistics, epidemiology, public health, economics, computer science, and allied fields. The successful candidate(s) will work on one or several
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. Please indicate in your application which of the above listed projects is most intriguing for you. Your profile Eligible candidates have strong skills in computational molecular (bio)physics, statistical
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, multi-level, discrete choice behavior modeling…) based on statistical software (R, STATA or SAS) ;Excellent skills in GIS and Python are an asset ;Excellent communication and collaboration skills
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electron systems, driven quantum systems and non-equilibrium statistical phenomena such as yielding and depinning.Members of the group: A. Aligia, L. Arrachea, C. Balseiro, P. S. Cornaglia, D. Dominguez, J
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We offer a full-time post-doc research position in the "Longitudinal investigation of sibilant articulation development in children: a statistical modeling approach based on instrumental evidence and
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underlying modification patterns from short- and long-read datasets.Who are we looking for?We welcome candidates with strong backgrounds in computational biology, mathematics, statistics, or computer science
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Institute for Advanced Studies, University of São Paulo, São Paulo / FAPESP (BIOTA SYNTHESIS – Nucleus of Analysis and Synthesis of Nature-Based Solutions) | Brazil | 2 months ago
statistical analyses) to work with impact indicators, including those provided by Altmetrics, Overton, and PlumX. Although the postdoctoral position is open to Brazilian and foreign researchers who have a PhD
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(Regional Directorate for Science, Innovation and Development). 1. object of the activity The grantee will be responsible for: collecting data, developing and carrying out surveys, statistical processing in
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on analysing modern and historical textual records through the lenses of graph-network analysis, statistics and machine learning. The topics include: * Topic: Networks in Historical Scholarly/Philosophical
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the lenses of graph-network analysis, statistics and machine learning. The topics include: * Topic: Networks in Historical Scholarly/Philosophical Writings Analysis of late medieval scholarly manuscripts