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for clinical application. The project will be based on repurposing existing microfluidic platforms (e.g. Mathur et al., Nature Communications, Utharala et al., Nature Protocols). The LBMM has a very
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vision, video understanding, action recognition, multimodal/vision-language models, pose estimation, or large-scale self-supervised learning. Familiarity with neuroscience, or ethology is a plus. Position
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the process itself shapes disease states at cellular and molecular scales. By combining AI innovation with RNA-focused, context-aware biology, SATURNA seeks to establish actionable principles of disease
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looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep Learning), and Human-Robot Interaction
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Group Theory. Anosov representations of these groups are thought to be linear versions of these groups: many objects naturally associated with hyperbolic groups have a linear avatar in the presence
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building lifecycle processes Hands-on experience in laboratory environment Creative and eager to explore and develop new methodological approaches Experience with quantitative research methods with a strong
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efforts (natural products, AI-enabled molecular design) to feed prioritized targets and hits back into upstream design Apply the pipeline to screens in both standard culture and, in collaboration with other
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We welcome applicants with a PhD in neuroscience, cancer biology, cell biology, molecular biology, bioengineering, or a related field, together with excellent written and spoken English skills. We
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, strategy, or a related management field Evidence of rigorous and original research Ability to teach effectively in English to science and engineering students Experience as main instructor is welcome but not
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skills Strong publication record (relative to your career stage) Independent, creative, and solution-oriented Excellent written and oral communication skills in English Strong motivation to explore new