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PhD: Semantic Modelling of Geodata Sources and Geo-analytical Workflows Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40
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omics data (e.g.. RNA-seq or ChIP-Seq); Experience with general molecular biology tools (e.g. cloning or genotyping); Experience with data analysis using R; Demonstrated analytical and problem-solving
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with working with omics data (e.g.. RNA-seq or ChIP-Seq); Experience with general molecular biology tools (e.g. cloning or genotyping); Experience with data analysis using R; Demonstrated analytical and
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of such structures. In doing so, you will develop both analytical theory and perform numerical simulations. You will collaborate closely with your experimental partner in Eindhoven, exploring
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involve collaboration with external partners working on applied AI systems. Possible domains include geospatial analytics (for example in collaboration with a startup), as well as decision-support
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understanding of plant-microbe interactions; demonstrable analytical and problem-solving skills; experience with data analysis using R; proficiency in written and spoken English; proactive and collegial working
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qualitative, empirical research, and in co-creation methods (or you have a strong interest in these). have sharp analytical skills and can demonstrate a combination of excellent research and organisation skills
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research, and in co-creation methods (or you have a strong interest in these). have sharp analytical skills and can demonstrate a combination of excellent research and organisation skills. have excellent
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. Your qualities We are looking for an enthusiastic and skilled colleague who possesses the following characteristics: a Master’s degree in mathematics; strong analytic skills; proficiency in English, both