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. The central challenge in our field has been the failure of preclinical models to predict clinical efficacy, a problem we address by conceptually reframing the disease. We operate from the hypothesis
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
of Magnetic Resonance Imaging (MRI). Building on the various contrasts mechanisms available in multi-parametric MRI, we aim to establish deep learning models that predict biomarkers of diseases progression and
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of computational predictions into experimentally validated drug leads. Position Responsibilities: Design and execute computational screening campaigns to identify and prioritize candidate small molecules
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advanced modeling techniques to create privacy preserving realistic data, and predict disease trajectories, outcomes, and other clinically relevant endpoints. They will also explore and exploit latent spaces
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., DepMap, PRISM) Common bioinformatics resources and pipelines (e.g., NCBI, Ensembl, BWA, STAR, GATK, VarScan, DESeq) Proficiency in Linux and programming languages such as Python, R, MATLAB, or Perl
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areas of energy, infrastructure, environment, materials, and chemistry and process engineering. The project aims to develop a digital twin (DT) for predicting and managing corrosion and microbially
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impact of expanding low oxygen regions). RECLESS aims to predict how ongoing ocean deoxygenation impacts microbial nitrogen transformations and thereby the future availability of nitrogen to support
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multimodal datasets. The goal is to generate predictive models that provide valuable causal and probabilistic insights into clinical and population health outcomes. In addition to technical research
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cutting-edge technologies — from single-cell multi-omics and deep learning to live-cell imaging and stem-cell–based organoid systems — to predict, observe, and manipulate epigenetic processes. Our lab and
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forces—such as those predicted by physics beyond the Standard Model. Distant, coupled microwave optomechanical systems can also be utilized for quantum information transmission. In this project, two