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biochemical methods, various cell culture models, sequencing-based chromatin techniques (RNA-seq, ChIP-seq, ATAC-seq) and microscopy. Research infrastructure includes a well-equipped laboratory and access
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PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic Risk in Africa–China Contact Zones
diverse local contexts. Fieldwork will be conducted in multiple regions associated with the BRI, with a focus on animal infrastructures, markets, migration, and China’s expanding health diplomacy. While
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PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic Risk in Africa–China Contact Zones
lived across diverse local contexts. Fieldwork will be conducted in multiple regions associated with the BRI, with a focus on animal infrastructures, markets, migration, and China’s expanding health
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know very little about the mechanisms that align DNA replication activities to potentially harmful endogenous threats such as metabolic stress and thereby limiting the detrimental consequences
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a broad range of molecular, cell biology and biochemical methods, various cell culture models, sequencing-based chromatin techniques (RNA-seq, ChIP-seq, ATAC-seq) and microscopy. Research
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, sequencing-based chromatin techniques (RNA-seq, ChIP-seq, ATAC-seq) and microscopy. Research infrastructure includes a well-equipped laboratory and access to core facilities including flow cytometry, FACS
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abyssally in the south. This PhD project will focus on Arctic bivalves, utilizing a combination of MinION sequencing, an innovative shallow sequencing technology, to explore genetic diversity. Additionally, X
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the Mediterranean Sea, living subtidally in the north and abyssally in the south. This PhD project will focus on Arctic bivalves, utilizing a combination of MinION sequencing, an innovative shallow sequencing
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+ (frontend and backend) to improve usability and experience on multiple devices (laptop, tablets and phones). - to develop and integrate tools for quantitative transcriptomic analysis within YEASTRACT
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., decision trees, logistic regression); - Explainability techniques such as SHAP, LIME, and rule-based decision trees to justify model predictions; - Sensitivity analysis across multiple comprehension