计算系统生物学/生物信息学方向博士研究员(年龄相关性黄斑变性数字孪生方向)
PhD in Computational Systems Biology / Bioinformatics (M/F)
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
- 博士生将开发针对年龄相关性黄斑变性(AMD)及补体系统的分子相互作用大规模图谱,将其转换为可执行的布尔模型,并整合入基于多尺度智能体的模型(ABM)中以构建视网膜数字孪生系统。
- 申请条件
- 申请者需持有生物信息学、计算或系统生物学、生物学(具强定量背景)、计算机科学、应用数学或紧密相关领域的硕士学位,具备编程经验(如Python、R等)、网络生物学、数学建模或组学数据分析知识,且具备极佳的英语听说读写能力。
- 待遇
- 原文未说明具体薪资待遇,提供全职临时博士生岗位,属于MSCA PANDORA博士网络项目资助。
- 申请方式
- 申请者需通过官方指定的招聘网站(https://emploi.cnrs.fr/Offres/Doctorant/UMR5077-MARPEL1-027/Default.aspx)进行申请,截止日期为2026年11月15日。
由 gemini-2.5-flash-lite 生成,博士岗判定置信度 100%。
岗位信息
- 截止
- 参见原文(截止时间尚未核验)
- 学科
- 生命科学
- 合同类型
- 雇佣合同
- 本站收录
- 内容更新
- 原帖导师候选(待核验)
- Anna NIARAKIS
- 来源
- EURAXESS(欧洲科研人才门户,MSCA 官方导出) · 最近核对 2026-10-15
- 详情核验
判定依据(原文摘录)
- 这是一个博士生培养机会,属于MSCA PANDORA网络
This PhD position forms part of the MSCA PANDORA doctoral network
- 工作语言为英语
Excellent command of spoken and written English, as well as good presentation skills.
- 学历要求为硕士学位
Master Degree or equivalent
官方导出原文
Job description : Creation of a multi-scale predictive digital twin of the retina affected by age-related macular degeneration (AMD) (DC8) This PhD position forms part of the MSCA PANDORA doctoral network, which investigates the pathological mechanisms and optimisation of new drugs for age-related macular degeneration (AMD). Computational modelling enables researchers to integrate several types of biological data into a single framework, to test perturbations in silico, and to predict pathological mechanisms and responses to treatments before testing them in the laboratory. The PhD student will develop large-scale molecular interaction maps of retinal mechanisms linked to AMD and the complement system. They will convert these maps into executable Boolean models using the 'map-to-model' framework developed at the CNRS/UPS and INRIA, and then adapt the models to the specific conditions of AMD using omics data generated within the consortium. The models will then be integrated into an agent-based multi-scale model (ABM) to create a digital twin of the retina affected by AMD, simulating intercellular communication and tissue homeostasis. The digital twin will simulate the system disturbances studied experimentally at the network level: environmental stress conditions, different compositions of the extracellular matrix, gene inactivations and gain-of-function variants. The in silico predictions will be compared with in vitro data provided by the PANDORA project partners. Finally, the model will be used as part of a therapeutic reorientation strategy aimed at identifying and prioritising new therapeutic targets for AMD, which will then be passed on to the consortium for experimental validation. The host laboratory has recently developed a technology enabling Boolean models to be scaled up to a maximum of 1,000 biomolecules and ABM models to thousands of agents. The PhD student will build on these advances to create state-of-the-art, large-scale predictive models of AMD. Your Work Environment : As part of the PANDORA Doctoral Network, a PhD position is available at the Centre for Integrative Biology (CBI) in Toulouse, a joint CNRS–University of Toulouse unit dedicated to integrative biology at various scales. The successful candidate will join the Systems Biology group and will be supervised by Professor Anna NIARAKIS.
Requirements / required education level / degree: Master Degree or equivalent
Requirements / required education level / discipline: Biological sciences
Requirements / skills: We are looking for a highly motivated PhD student with a keen intellectual curiosity, possessing a solid background in computational or systems biology, bioinformatics or a related quantitative field.AMD is the most common cause of blindness in older people. Its pathological mechanisms are complex and not yet fully understood, making it a subject particularly well-suited to systems-level modelling. Skills/Qualifications : - A Master's degree in bioinformatics, computational or systems biology, biology with a strong quantitative focus, computer science, applied mathematics or a closely related field. - Programming experience (e.g. Python, R or similar). Solid knowledge of network biology, mathematical modelling and/or omics data analysis. - Excellent command of spoken and written English, as well as good presentation skills. - Strong motivation and a keen interest in pathological mechanisms and translational biomedical research. - Ability to work effectively both independently and as part of an interdisciplinary team. - Knowledge of cellular and molecular biology. Specific requirements: - Experience in logical/Boolean modelling, agent-based modelling or molecular interaction maps is a major asset. - Training in complement system biology, ocular biology or therapeutic reorientation is an asset. - Willingness to travel for secondments to partner institutions. - Ability to work independently. - Languages: ENGLISH
Requirements / required languages / language: ENGLISH
Requirements / required languages / language level: Excellent
Research experience / main research field: Biological sciences
Research experience / research sub field: Biology
Research experience / years of research experience: None
Work location / nr job positions: 1
Work location / job organisation institute: CBI (CNRS-University of Toulouse)
Work location / job country: France
Hiring contact / organisation institute: CNRS - CBI-Toulouse
Hiring contact / organisation institute type: Public Research Institution
Hiring contact / division faculty: Biology
Hiring contact / country: France
Hiring contact / city: toulouse
Hiring contact / postal code: 31077
Hiring contact / street: route de Narbonne
Hiring contact / website: http://cbi-toulouse.fr/eng/
Application / how to apply: website
Application / application website: https://emploi.cnrs.fr/Offres/Doctorant/UMR5077-MARPEL1-027/Default.aspx
EU funding / framework programme: Horizon Europe - MSCA
EU funding / cofund nr job position: 1
Research field / main research field: Biological sciences
Research field / sub research field: Biology
Researcher profile: First Stage Researcher (R1)
Positions: PhD Positions
Contract: Temporary
Job status: Full-time
Application deadline (as exported; timezone unverified): 2026-11-15T00:00:00