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lead the in vivo functional analysis of this gene using conditional KO mouse models, with a focus on brain development, neuronal differentiation, and seizure susceptibility. All models are already
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-affiliated hospitals. Responsibilities The postdoctoral fellowship work will focus on analysis of sequencing data from primary blood samples of cancer patients enrolled in the CH CARE Study before, during and
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motivated scientist with: A PhD or MD Knowledge of Biochemistry/Molecular Biology Experience with stem cell models (required) Experience in brain analysis (desirable) About us and what we offer Located within
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scientific writing skills Preferred qualifications: Hands-on experience with single-cell and spatial transcriptomic analysis Familiarity with multi-omic data integration workflows Cancer biology background
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, preferably in brain slices * Experience in data analysis in Python or MATLAB* Track record of writing papers as evidenced by publications or submitted manuscripts in referred journals * Evidence of data
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* Excellent knowledge and experience in in vivo calcium imaging or electrophysiology * Experience in data analysis in Python or MATLAB * Track record of writing papers as evidenced by publications or submitted
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strong data analysis experience and a PHD in Neuroscience or a related field, we would love to hear from you. What you will be doing Some of the available projects in this role will focus on: Exploring
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not have been acquired earlier than 2020) * Proven experience in the analysis of multi-omics data (proteomics, metabolomics, and/or genomics, transcriptomics) * * * * Strong expertise in machine
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sequencing and spatial transcriptomics data. Learn and master skills for integrative analysis of high-dimensional bulk and single-cell multi-omics data. Gain rich knowledge in cancer biology, cancer genomics
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of the responsibilities outlined below Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project hypotheses and complete project aims Develop research