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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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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
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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
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of metabarcoding data, plant metabolomics or transcriptomics, multivariate statistical analyses or soil microbiology Further, we will prefer candidates with some of the following qualifications: Teaching and
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of supervision at Bachelor’s and Master's degree level. We expect you to have experience with human electrophysiology (i.e. MEG and EEG, in particular hyper scanning), expertise in advanced statistical analysis
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psychophysics and statistics Good command of Matlab or a similar programming language Very good command of the English language in spoken and written form Research experience as evidenced by conference
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, acoustics, cognitive (neuro)science, or a related field Expertise in auditory perception. Experience with visual or multisensory perception is a plus. Good command of psychophysics and statistics Good command
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approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modeling, aimed at uncover the key traits that define successful microbial biofertilizers