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experiments.Collaboratewith computational biologists to integrate CRISPR screens with transcriptomic, epigenomic, and spatial datasets.Contribute experimental insight to the development and maintenance of analysis
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of analysis pipelines. Partner with AI/ML experts to implement predictive tools supporting guide design and perturbation strategies. Your profile PhD or equivalent experience in Molecular Biology, Biotechnology
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: Marine Biodiversity and ecosystem functioning across spatial, temporal, and human scales”. The overall aim of the project is to acquire knowledge of the principles governing the structure, dynamics
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image analysis to extract cellular morphology and spatial features.Analyze multi-modal datasets combining transcriptomics, chromatin accessibility, imaging, and electrophysiology.Develop and apply machine
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to: The analysis will include statistical modeling (e.g., STEHME) to bridge spatial and temporal data gaps and interpolate beyond field-accessible regions. Using the resulting statistical product, the candidate will
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ovarian cancer. The laboratory has about 15 members that use cutting-edge methods, including spatial proteomics, spatial metabolomics, spatial transcriptomics, 3D organotypic cultures of human tissue, in
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applications for fully-funded postdoctoral research associate positions. SITE is highly interdisciplinary and aims to develop novel enabling technology on hydrodynamic stability analysis that has applications in
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the Collaborative Doctoral Partnerships programme, training researchers at the science-policy interface. Where to apply Website https://jobs.unibas.ch/offene-stellen/phd-position-ai-driven-pathways-to-health
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to capture the spatial complexity of tumor organization and its relationship to treatment response. This PhD project aims to develop robust multimodal predictive models of platinum resistance using a large
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assistants in experimental or analytical workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial