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ideal for a researcher with a strong background in survey methodology, experimental design, and statistical analysis who is interested in business power, self-regulation, and public opinion in
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genomic summary statistics (e.g., diversity, inbreeding, mutational load) Interest in machine learning applications (experience is a plus but not required) A strong understanding of evolutionary and
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Denmark as well as contributing with data and analyses for comparative research papers on Denmark, Israel and the US. Familiarity with statistical methods and social network analysis is prerequisite
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and applying new skills. Experience with programming in Python and a working knowledge of statistics It would further be beneficial if you have some of the following skills: Hands-on experience with
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statistical analysis of results Experience with collecting field data in a spatial context Insight into analyzing data-intensive measurements and sensitive analysis Who we are At the Department of Agroecology
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there. There are also some postdoc stipends available which are not attached to any of the above mentioned centers/grants. Note that we also have a different call in Statistics, Insurance and Economics, including
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computational chemistry or physics will be preferred, but candidates with a solid background in statistics, computer science, and/or mathematics are also encouraged to apply. Programming skills (e.g., Python
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analytical skills in model evaluation Experience in advanced statistical analysis of results Experience with crop model calibration and evaluation, such as DSSAT, APSIM, or equivalent Insight into analyzing
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experience Skills within statistical analysis Communication skills both in oral and written English and preferably also in Spanish Flexibility and self-motivation are desired skills at DTU We expect you to be
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or laboratory analyses. Familiarity with statistical analyses and data integration across multiple sources. Collaborative skills and ability to demonstrate commitment in teams Motivation to pursue a scientific