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Field
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at scale. By integrating AI-drive image analysis with molecular and clinical data, the work seeks to identify novel disease-associated features and translate these into clinically deployable models
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develop and apply multimodal 3D imaging and analysis frameworks to quantify tissue architecture and protein expression in paraffin embedded tissue samples at scale. By integrating AI-drive image analysis
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compliance (5%). •Conduct research on artificial intelligence (AI) and machine learning (ML) to analyze large-scale biological, genomic, metabolomic, and phenotypic dataset (25%). •Investigate the genetic
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and neural activity. In particular, Postdoctoral AI Researchers may help develop brain foundation models that predict patterns of neural activity from large-scale, multi-regional recordings. Areas
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computational pipelines for high-throughput sequencing data analysis. Analyze bulk and single-cell transcriptomic datasets (RNA-seq, scRNA-seq). Integrate multi-omics data to uncover novel mechanisms of immune
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large GPU clusters on cryoSTEM datasets in the multi-terabyte range. This position plays a pivotal role in supporting ongoing, high-impact research programs within our lab. The successful candidate will
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-cell multi-omics approaches • Analysis of large-scale genomic and/or transcriptomic datasets • Experience with mitochondrial or innate immune/inflammation assays Overtime Status Exempt: Not eligible
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datasets in the multi-terabyte range. This position plays a pivotal role in supporting ongoing, high-impact research programs within our lab. The successful candidate will be working under the joint guidance
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towards deep, large-scale analyses of STM evolution and action. The focus will lie on a range of arthropods, molluscs, and chordates, with the aim to uncover universal STM design principles as
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? Join our team to develop next-generation multi-aperture ultrasound technology combining distributed sensing, adaptive acquisition, image reconstruction, and AI-driven imaging for groundbreaking clinical