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, stimulation and transduction of T cells, and standard molecular biology methods, including cloning. Experience with flow cytometry and animal work is essential. Hands-on experience using cancer models in mice
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root/soil mesocosms under controlled conditions in growth chambers or greenhouses, but field experiments will also be conducted. The postdoc will be working with own methods and data while collaborating
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, stimulation and transduction of T cells, and standard molecular biology methods, including cloning. Experience with flow cytometry and animal work is essential. Hands-on experience using cancer models in mice
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performance in refurbished metal parts and contribute to assessing their environmental impact, including data input for CO₂e analysis tools. Expected start date and duration of employment This is a 1.5–year
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of TSN-based in-vehicle networks. These networks carry mixed-criticality traffic and use TSN with multiple traffic shapers and redundant communication. You will investigate methods for runtime analysis
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. Additionally, the postdoc will also be developing methods for integrating thermal tolerance measures with microclimate data from field sites and climate models to better understand and predict shifts in species
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these intricate immunological processes. Using advanced bioengineering methods and innovative molecular tools, this project aims to: Develop robust 3D skin-on-a-chip models incorporating genetically engineered
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quantitative Mass Spectrometry-based proteomics methods for this project. The successful candidate will work closely with experts in bioinformatics and in cellular signalling to make informed decisions on data
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and motivation for establishing new methods A PhD in life sciences or related An excellent research and publication track record Excellent English skills, written and spoken Desirable experience and
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forecasting. You will get the opportunity to participate and influence the development of advanced forecast solutions combining weather forecasts and novel machine learning/statistical forecasting methods