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Open nowPosted 129 days ago

博士后-医药大模型

c0fu1j3a9m0/referral33 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now博士后-医药大模型c0fu1j3a9m0/referral · Shanghai, Chinese Mainland

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. c0fu1j3a9m0/referral postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 129 days ago

c0fu1j3a9m0/referral median: 1 days open

The posting

  • RNA 命运基础模型与科学发现智能体方向：负责 RNA fate foundation model、RNA 分子状态建模、RNP 互作建模和多任务预测模型研发；整合 RNA 序列、结构、修饰、CLIP、Ribo-seq、half-life、localization、perturbation 等数据；参与自动化实验闭环和上智院 RNA AI 平台建设。
  • siRNA 全流程药物设计模型方向：开发 siRNA efficacy、off-target、AGO2 loading、chemical modification、delivery-aware design 和 safety prediction 模型；构建 sequence + modification map + delivery-compatible 的生成式设计流程；与实验和产业团队协同推进候选 siRNA 分子的设计、筛选和优化。
  • 多模态医疗大模型方向：负责多模态医疗大模型及临床智能体研发，整合电子病历、医学影像、病理图像和检验检查等数据；开发支持诊断辅助、预后预测、疗效评估、患者分层、临床决策支持和真实世界数据分析的多模态医学大模型；与医院、药企及产业团队协同，推动模型在智能诊疗、临床研究、药物研发和精准医疗场景中的落地应用。
  • 人工智能、计算生物学、生物信息学、RNA 生物学、结构生物学、生物物理等相关方向博士；具备较强 AI 建模能力，熟悉 foundation model、多模态学习、生成模型、GNN、MD、agent 或 active learning 者优先；原则上应有高水平代表性成果，CCF-A 或中科院一区 TOP 论文 2 篇及以上者优先。
  • 多模态医疗大模型方向：人工智能、计算机技术、计算机视觉、多模态学习等相关方向博士，具备扎实 AI 建模能力，熟悉多模态大模型、医学影像/文本建模、多模态推理等技术。发表 CCF-A 类论文 2 篇及以上者优先，有医学数据、临床场景、多模态医疗大模型或医学 AI 转化经验者优先。
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