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in English, with a strong publication record commensurate with training level. Preferred: · Experience generating or analyzing 3D organoid systems, particularly neural or sensory organoids
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training level. Preferred: · Experience generating or analyzing 3D organoid systems, particularly neural or sensory organoids. · Familiarity with single-cell RNA sequencing, lineage tracing, or time-course
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Mathematics, Physics, Engineering, or Computer Science. This is a collaborative, cross-functional team, and project assignments will be tailored to match each postdoc’s strengths and growth goals. If you are
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collaboratively in a multidisciplinary team Additional Experience (Preferred but Not Required): Experience in electrochemistry or micro/nanofabrication Prototyping skills, including CAD design, 3D printing
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strong computational skills and a second experimental postdoctoral scholar to work at the interface between the two labs to integrate experimental and computational data. Key Responsibilities: Building 3D
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., diffusion transformers, multimodal representation learning) for modeling high-dimensional biological images. Develop computational methods to reconstruct and simulate 3D tissue architecture and dynamics
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: Pathology Biomedical Informatics Biomedical Data Sciences Postdoc Appointment Term: 1 year (renewable) Appointment Start Date: As soon as feasible; February 2026 How to Submit Application Materials: Please
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internal equity. Pay Range: 76,383-86,383 Our lab investigates the functional principles, development, and computational properties of organism-wide circuits for brain-body interactions. We
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interest in translational science. The postdoctoral fellow will work closely with Dr. Vivek Charu and Dr. Brooke Howitt. Required Qualifications: PhD in Biostatistics, Bioinformatics, Computational Biology
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be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including bulk and single-cell RNA-seq, ADT-seq, ATAC-seq, DNA