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strong foundational knowledge of machine learning and AI, backed by hands-on experience. Expertise in Diffusion and Flow models and/or Reinforcement Learning is a plus. You have experience with modern deep
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shifting priorities and fast iteration You are curious about chemistry and willing to learn the basics to facilitate interdisciplinary collaboration Prior experience with (industrial) customer interaction
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models. By utilizing biobanks of lung biopsies and established animal models, LifeLUNG will apply advanced machine learning and AI-driven deep sequencing to identify key immune factors and gene targets
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to explore and commercialize innovations at the intersection of AI systems and machine learning, with a goal to spin out a deep-tech startup. This is a unique opportunity for someone with both technical
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. Examples of research topics include but are not limited to: development of new AI architectures for biology and hybrid models that combine deep learning with mechanistic models; foundation models of genome
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pathogenic variants and represent novel therapeutic targets, respectively. To this end, we will perform cutting-edge proteomics analyses on post-mortem human retinal tissues and use bioinformatics and deep