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) using a novel cell culture model. The postdoc will work on a comprehensive translational research program combining advanced human iPSC-derived co-culture models, spatial transcriptomics and proteomics
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the project include collecting YouTube or social media data and digital news content, using manual and computational methods to analyze this content, and collaborating with the European project team on a cross
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estimation. Performing experiments to investigate synthetic samples, field samples, and samples from other projects in the program. This will require a well-established connection to other projects. Co
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, experimental and computational methods to study the physiology of microbes. You will work in a team contributing to projects of other team members, while independently developing your own project. You will also
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characterization with scanning electron microscopy is a plus Experience with computational tools such as MATLAB, Python or relevant tools Ability to work independently and collaboratively in a multidisciplinary team
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programs in Biology with about 400 students enrolled as well as a PhD program. The Department offers a vibrant and informal research environment with a long-standing tradition for collaboration with
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and discovery Integrate computational and experimental results to advance mechanistic understanding and predictive modelling Collaborate with academic and industrial partners Mentor and supervise
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, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine research
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Engineering and Materials & Process Engineering. Close collaboration with our neighbouring Departments (Biosciences, Food, Agroecology, Chemistry, Mechanical Engineering, Electrical & Computer Engineering
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, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine research