面向组织基因表达的可信AI博士研究员（Can Blood Reveal the Body? Trustworthy AI for Tissue Gene Expression）
PhD Studentship: Can Blood Reveal the Body? Trustworthy AI for Tissue Gene Expression
原帖优先：申请材料、截止时间与资格以原帖和学校官方说明为准。
AI 中文速览
- 研究内容
- 本项目旨在开发 Blood2Tissue，这是一个组织条件化 AI 建模框架，用于从血液预测组织特异性基因表达程序。研究内容包括使用 GTEx 数据集对现有方法进行基准测试、开发并校准 Blood2Tissue，以及利用 IBDverse 和参考细胞图谱研究跨组织调节的基础生物学问题。
- 申请条件
- 申请者需至少具备英国同等学力荣誉学士学位（2:1 级别）。同时需满足英语语言要求（理学院同等标准：雅思总分 6.5，各单项不低于 6）。
- 待遇
- 提供为期 4 年的 Norwich Research Park Biosciences Doctoral Training Partnership 博士生奖学金。奖学金涵盖直接支付给大学的学费、用于生活费的津贴（2026/27 年度标准为每年 21,805 英镑），以及每年 5,000 英镑的研究培训支持补助金（RTSG）。
- 申请方式
- 原文未说明具体的申请方式、提交语言、文件格式或截止地址。
由 gemini-2.5-flash-lite 生成，博士岗判定置信度 100%。
岗位信息
- 截止
- （Europe/London） 剩 37 天
- 学科
- 计算机科学
- 合同类型
- 雇佣合同
- 原文薪资
- GBP 21,805 / 年（税前）
- 税后月薪（估）
- ¥13,700；房租后 ¥5,400
- 估算假设
- 单身、无子女、雇佣合同的粗略估算，以学校 offer 为准；扣除率 18%；汇率日期 2026-10-01
- 原帖发布
- 本站收录
- 内容更新
- 原帖导师候选（待核验）
- Rahuman Sheriff, Irene Papatheodorou
- 来源
- jobs.ac.uk（英国博士项目及学术招聘） · 最近核对 2026-10-23
- 详情核验
判定依据（原文摘录）
- 这是一个博士生培养机会
This PhD will develop Blood2Tissue, a tissue-conditioned AI modelling framework that predicts tissue-specific gene expression programmes from blood.
- 英语要求
English Language requirement (Faculty of Science equivalent: IELTS 6.5 overall, 6 in each category).
- 允许学士学位申请
At least UK equivalence Bachelors (Honours) 2:1.
原文
A blood sample can be collected repeatedly, but a biopsy from the brain, liver or intestine cannot be. Could the molecular signals in the blood reveal what is happening in other tissues, and tell us when the inference is trustworthy?
This PhD will develop Blood2Tissue, a tissue-conditioned AI modelling framework that predicts tissue-specific gene expression programmes from blood. Existing studies demonstrate feasibility for some genes and tissues, but predictions are often population average, accuracy varies substantially, and current approaches rarely identify which individual predictions can be trusted.
You will build on CHROMATIN, our team’s cross-modal attention framework for imputing missing modalities in multi-omics datasets, and MOCHA, our uncertainty framework with a preprint expected shortly. The aim is not simply to create another blood-to-tissue predictor.
You will benchmark existing methods using GTEx dataset, develop and calibrate Blood2Tissue, and use IBDverse and reference cell atlases to investigate fundamental questions such as why some molecular programmes are blood-visible while others remain tissue-autonomous. Confirmed visits to Ellen McDonagh's Open Targets team at European Bioinformatics Institute (EMBL-EBI) will provide experience connecting reliable molecular signals to genetic and disease evidence. The project will deliver reusable computational methodology and new biological understanding of cross-tissue regulation, with longer-term relevance to Digital Twins of living systems.
Training will span transcriptomics, machine learning, uncertainty quantification, genetics, single-cell genomics, HPC, reproducible software and responsible AI, including supervised use of emerging AI-assisted and agentic tools for coding, benchmarking and workflow automation. The project will be conducted at the Earlham Institute, a world-class BBSRC research centre of excellence in genomics, engineering and computational biology, and AI.
You will join Dr Rahuman Sheriff’s AI integrated Digital Twins Group within Earlham Institute’s data-intensive bioscience environment, with Prof Irene Papatheodorou contributing expertise in cellular genomics and FAIR data. You will join a highly collaborative and supportive research community and have access to training and career development opportunities across the Norwich Research Park through the Norwich Research Park Biosciences Doctoral Training Partnership.
Entry requirements
At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty of Science equivalent: IELTS 6.5 overall, 6 in each category).
Mode of study
Full-time
Start date
1 October 2027
This project is awarded with a 4-year Norwich Research Park Biosciences Doctoral Training Partnership PhD DTP studentship. The studentship includes payment of tuition fees (directly to the University), a stipend to cover living expenses (2026/27 stipend rate: £21,805, and a Research Training Support Grant of £5,000pa for each year of the studentship. £21,805 and a Research Training Support Grant of £5,000pa for each year of the studentship.