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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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behavior and circuit integration remains poorly understood. In this project, you will develop and apply spatial transcriptomics methods and combine these with measurements of brain activity and cellular
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role in membrane remodeling. It also aims to deepen the mechanistic understanding of solute transport in ion channels and transporters of medical relevance. We apply state of the art methods
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following positive evaluation, although the applicant will be expected to actively seek independent funding and will be fully assisted in applying for personal fellowships, such as FWO Your monthly
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for an additional 3 years. In parallel, the applicant will be expected to actively seek independent funding and will be fully assisted in applying for personal fellowships, such as FWO PhD fellowships. Access
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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. Various training opportunities to broaden your expertise and skills How to apply? If you are interested in performing high quality science related to plant hormones, please use the online VIB application
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at the cellular level, and (iii) applying quantitative image analysis to compare structural organization across fertile and infertile donors. The project is embedded in an active collaboration with a local