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-genotype-environment association (GEA/EAA) or GWAS -programming in Python, with extensive experience working in Linux and multiple HPC environments. -population genomics across environmental gradients
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of experimental human research using functional neuroimaging (fMRI) or non-invasive brain stimulation (for example TMS or tES). You have good programming and data-analysis skills (for example Python
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/assignment relevant to the subject area. Assessment criteria Good programming skills and linux/unix experience is a requirement. Knowledge of Matlab or R is also highly desired. Previous
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. Experience in experimental cell biology, programming, biophysics, image analysis, genomics or data analysis is considered meritorious. The project will be conducted in a multidisciplinary research
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quantitative field, together with strong programming skills, for example in Python or R. You are welcome to apply should you have a degree in applied parts of statistics, computer science, machine
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assessment: Quantitative remote sensing, including optical and radar data. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning
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with X-ray imaging techniques, e.g. µCT, nanoCT, TXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability to work both independently and as part of a team
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collaborative in nature. A strong publication record in reputable peer-reviewed journals is highly desirable. Proficiency in programming, particularly in R, Python, or other relevant languages, is
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high-plex image analysis of tissue Documented knowledge and practical experience in programming and data analysis in R. Good communication skills and extensive documented experience of supervision of
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or service/assignment relevant to the subject area. Assessment criteria Good programming skills and linux/unix experience is a requirement. Knowledge of Matlab or R is also highly desired. Previous