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integrate these data into the cis-regulatory networks. Following cis-GRN network reconstruction and formal graph analysis, we will identified key regulatory factors governing cell-type specific reponse to CMT
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, Belgium ) and Dr. An-Sofie Schoonjans (Pediatric Neurology Department UZA) are seeking a highly motivated PhD student to work on clinical data analyses and multi-omics approaches in the rare genetic
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appointment) in digital text analysis, digital humanities, linguistics and literature, applied linguistics, communication sciences, computer sciences or similar. You have a background and/or strong interest in
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on cancer metastasis and novel metabolic pathways. We exploit mouse models, genetic engineering, metabolomics and single cell & spatial multi-omics analysis to gain groundbreaking insights into metabolism as
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on cancer metastasis and novel metabolic pathways. We exploit mouse models, genetic engineering, metabolomics and single cell & spatial multi-omics analysis to gain groundbreaking insights into metabolism as
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critical, scientific mindset and are interested in proteomics technology and data analysis. You have basic knowledge of statistical tools. What we offer We offer a full-time PhD scholarship for a period of 1
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, preparing data collection (e.g., setting up questionnaire), collecting both qualitative and quantitative data, coordinating with the app developer. Data analysis, including both qualitative and especially
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(soil properties and processes) using appropriate data analysis techniques • develop practical but validated indicators of soil health that can be used directly by farmers and other land managers The PhD
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spatio-temporal analysis based on big geospatial data. The PhD student will work closely with Prof. Haosheng Huang (https://users.ugent.be/~haohuang/ ) and Prof. Christophe Vandeviver (https
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conduct stability, reactivity and possible semi-synthesis study of selected bioactive SLs. • You perform a mix of chemical laboratory work and data analysis of natural products. • You contribute to a