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Field
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details of all procedures and experiments in laboratory notebooks and other formats. (35%) Data analysis: Use statistical analyses to summarize data and prepare graphical and tabular summaries of results
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. Preferred Qualifications Applicant must be a strong writer and quantitatively skilled with experience using GIS tools and statistical software, ideally R, and could have a PhD in one of several fields
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digital media, you will lead core research on reading and writing development using longitudinal school testing, experimental paradigms, and statistical modeling. You Will Have: A PhD (or near completion
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on astrophysical source populations and dark-matter signals, exploiting statistical correlations across datasets to break degeneracies that limit single-probe analyses. The framework will be validated on synthetic
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internationally recognised research environment. It is essential that you hold, or be close to completing, a PhD/DPhil in computational biology, mathematics, statistics, bioinformatics, oncology or another related
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 6 days ago
: • Experience in designing experiments on cooperation and communication involving wolves and dogs • Statistical and programming skills, such as R, MATLAB, Python and Bonsai • Independent, precise and solution
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will
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scientific communications. Maintain high standards for scientific documentation, data integrity, and reproducibility. Required Qualifications PhD or equivalent doctoral degree in microbiology, immunology
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 8 days ago
, Political Science, Social Psychology, Survey Methodology) Sound knowledge in empirical quantitative social research including the use of statistical analysis methods and programs (Stata, R) Excellent
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of statistical and quantitative methods for analyzing complex, highdimensional datasets Good understanding of biochemical principles, including mass spectrometry Good programming skills (Python and/or R) Strong