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xenograft (PDX) models. To this end, the candidate will have direct access to cutting-edge mass spectrometry and advanced bioinformatics infrastructure. The project is part of the collaborative research
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highly motivated doctoral student to join an ambitious project aimed at building machine and deep learning models to study the genetics of human disease. Funded as part of the Helmholtz AI program, the
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Laudation Receipt of nomination Acknowledgement of receipt to nominator Formal eligibility check if applicable: formal rejection to nominator Completeness check if applicable: request of additional documents
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Great interest in pre-clinical in vivo models Ideally initial experience with Bioinformatics experience, especially in R What we offer Goal-oriented, individual training and development opportunities
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histological validation within murine cancer models. We offer an association with the Collaborative Research Centre 1450 “Insight – Multiscale imaging of organ-specific inflammation” graduate school
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Neuroscience uses theoretical approaches from this broad range of disciplines to integrate experiment, data analysis and modelling in order to understand the brain. Furthermore, it makes a scientific language
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support the development of a European energy system model by benchmarking future technologies and optimizing their representation within the FINE optimization modelling framework ( https://github.com/FZJ
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to the DAAD by third parties. Despite careful checking, the DAAD cannot guarantee the accuracy and completeness.
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cellular biology, the project will investigate signal transduction mechanisms at the protein and membrane level. Experimental systems will include 2D cell culture, organoid models, and advanced biophysical
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to the DAAD by third parties. Despite careful checking, the DAAD cannot guarantee the accuracy and completeness.