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. Responsibilities Model Development: Build and train advanced deep learning architectures (e.g., CNNs, Transformers, Generative Models) to decode the regulatory logic of genomic enhancers in GBM
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, and vendor relationships Work together with the Data Core and VIB ICT team to support research data services Make architectural decisions and continuous improvement of infrastructure practices Take
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disease modelling skills to join our team. About the project The ultimate goal of this project is to develop and apply advanced human iPSC-based models to study complex genetic architecture
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professionally or through personal projects Excellent command of written and spoken English Familiarity with PC hardware architecture for day-to-day maintenance Desirable but not required Experience with Linux is
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-based models to study complex genetic architecture of neurodegenerative disorders. The candidate will approach this by: 1) using advanced Brain-on-Chip models to understand how genetic risk affects the
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. We believe defects in this process may be key to understanding unexplained infertility. In this project, you will determine how sperm centrosomal architecture is built and remodeled in situ. You will
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limited understanding of sperm molecular biology. In this PhD project, you will investigate how molecular assemblies in human sperm are organized in situ and how this architecture relates to fertility and