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under supervision. Specifically, the postdoc will develop and conduct chemical and/or metabolomic analyses of infected and healthy RBCs, as well as behavioural experiments with mosquitoes. Other duties
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both academic research and industrial applications. In addition to theoretical research, the work might involve implementing new algorithms in the SCT tool Supremica, which is developed by the Automation
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, design and characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high
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sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future
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, like rituximab, can be effectively boosted by vaccination while others cannot (Gröning et al, Front Imm 2023). You will use recently developed technology in genomic and proteomic B cell / antibody
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LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated
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including, among others, Prof. Maria Riveiro. You will focus on developing and evaluating explanations from AI systems. Your work includes teaching or other departmental duties, up to a maximum of 20% of full
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LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated
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networks are controlled, to develop predictive models of methane cycling in northern rivers. This postdoc position will focus on assessing how stream methane emissions are linked to permafrost thaw, using
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at understanding the mechanisms underlying context-dependent human social learning of affective responses and social values. In this role, you will work at the forefront of research, developing new