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gliomas. The project integrates generative AI, interpretable models, uncertainty estimation, and federated learning to improve clinical decision-making, data privacy, and personalized medicine
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). The RAs will help us to improve an existing Python code base for creating 3D models of ancient artifacts from large datasets of 2D images. The main qualifications are prior experience working on large
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directions or modeling that could include dynamic systems modeling, spatial environmental modeling, knowledge models and knowledge representation, or a focus on alignment or AI safety related to the use of AI
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field, has hands‑on experience in autoimmune disease models or adaptive immune modulation, and is comfortable integrating materials science with biologic assays. Qualified applicants must have experience
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generalization. Your work will include: Developing methods for detecting the authenticity and origin of speech and audio content generated by multiple models and containing different watermarking methods. Creating
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mouse models. The research will include colony management and genotyping, deployment and evaluation of in vivo gene therapy treatments, EEG and behavioral assessments, histology and molecular studies
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language models (LLMs) and vision-language models (VLMs), you will investigate AI behavior, develop innovative evaluation methods, and translate scientific insights into real-world applications that improve
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particular focus on increasingly autonomous and agentic models. The research will examine frontier AI systems that interact with operating systems, APIs, software tools, other agents, and complex environments
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description We are looking for a highly motivated Post-Doctoral candidate to join our research team. Your research focus will be on the experimentation of real-time robust model predictive control schemes
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models and human clinical samples to investigate the causal roles of the microbiota and microbiota-derived metabolites in the pathogenesis of endometriosis. The Postdoctoral Associate will work at the