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. your CV. contact information of two references (a minimum of one Professor; one reference can be a Postdoc). We will review applications on a rolling basis. For further information, please send an email
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postdocs. Interested? Check out our laboratory and publications on www.raeslab.org and/or https://scholar.google.com/citations?user=Ff13MYIAAAAJ How to apply? Interested candidates should apply online
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cells in our body and their sophisticated morphology and function render them highly susceptible to degeneration. The preliminary data generated in-house as well as the available public data suggest
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bioinformatics) via regular online meetings and short research stays. In this way, your data will contribute to building a model of the regulatory code. You will perform experimental validation by using this model
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trajectories. Leveraging deep learning, generative models and cross-modal autoencoders and working with both structured and unstructured data, the goal of this project is to develop a statistical framework and a
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RNA-Seq, ChIP/DAP-Seq protein-DNA interaction data, bulk, and single-cell ATAC-Seq) and the application of diverse supervised machine learning approaches (e.g., feature-based, deep learning, and
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the VIB HR Application tool. Additional required information: detailed CV motivation letter describing your previous research experience names and contact information of at least 2 references For more
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to Apply? Interested candidates are invited to submit a CV, a cover letter outlining their research interests and relevant experience, academic transcripts, and contact information for at least one reference
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dedicated training program to broaden your expertise and enhance your skillset Starting Date: as soon as possible How to apply? For more information contact [email protected] . Please complete
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cells in our body and their sophisticated morphology and function render them highly susceptible to degeneration. The preliminary data generated in-house as well as the available public data suggest