浙江
LMU-CSC Computer Science AI Positions @ Ali Erturk Lab; NBIC-PKU PhD/Research Assistant/Intern @ Shan Zhao Lab
1. LMU-CSC Computer Science AI Positions @ Ali Erturk Lab
Department/Institute:
Institut für Schlaganfall- und Demenzforschung (ISD). Helmholt Munich, Intelligent Biotechnologies
Name of supervisor: Ali Ertürk
Number of open positions: 2 Ph.D. in AI and Machine Learning
Project title: Multimodal integration of biomedical data
Project description:
Our group is focused on developing artificial intelligence (AI) tools to analyze large-scale biological imaging data at single-cell resolution and associated molecular data to develop predictive models for diverse biological and medical applications. By combining cutting-edge imaging and computational technologies, we aim to uncover new insights into health, disease, and therapeutic responses.
We uniquely combine whole-body tissue clearing and three-dimensional imaging techniques for entire mice and large human samples with spatial 'omics and state-of-the-art AI (
e.g., Pan…Ertürk, Cell 2019; Zhao…Ertürk, Cell 2020; Bhatia…Ertürk, Cell 2022; Mai…Ertürk, Nature Biotech. 2024; Kaltenecker…Ertürk, Nature Methods 2024, Luo ..Ertürk, Nature Biotech. 2025). Our research interests include mapping health and disease processes across the body, conducting molecular analyses of spatially defined physiological and pathological structures, developing new drug deliveryapproaches, and creating novel AI tools to better understand mammalian biology.
More information can be found on our website: erturk-lab.com.
For the current project, we are seeking two skilled computer/data scientists to advance methods for multimodal integration of molecular and phenotypic data with large-scale, single-cell resolution datasets spanning entire animal models and large human tissues. The goal is to move beyond traditional, annotation-heavy approaches by developing AI systems capable of linking molecular signatures with 3D spatial phenotypes across complex biological samples.
Requirements:
• Strong proficiency in programming environments such as Python or R, and in data visualization approaches;
• Experience with machine learning frameworks (e.g., PyTorch, TensorFlow) is an advantage;
• Familiarity with bioinformatics, large-scale data analysis, or high-performance computing is a plus;
This project seamlessly bridges AI, high-performance computing, and bioinformatics to transform high-resolution imaging data into actionable biological and medical insights.
Project time plan:
• Full Doctoral Study-Model: 48 months
Language requirements:
English at least B2 (TOEFL score >80, >25 in the Speaking Section preferred)
To applicants: Please send following initial application documents to LMU-CSC Office before 15th December:
➢ Resume and Research Motivation Letter
➢ Certificate of Proficiency in English, equivalent to IELTS Test Academic 6.5 (no module below 6) or TOEFL IBT 95, is required
➢ Two letters of recommendation directly sent from your current Supervisors/ Professors to LMU-CSC Office
Apply at: ali.erturk@helmholtz-munich.de CC to
LMU-CSC Office: csc.international@lmu.de
2. PKU-NBIC Research Assistant/Intern @ Shan Zhao Lab
Department/Institute: National Biomedical Imaging Center (NBIC), Peking University
Name of supervisor: Shan Zhao
Number of open positions: 1PhD; 1 Research Assistant; Interns
Our laboratory is committed to elucidating the holistic molecular and structural details of organisms that governing physiological and pathological changes by developing integrated 3D spatial multi-omics technologies, which combining novel probe design, whole-organ tissue transparency, advanced imaging systems (e.g. light sheet fluorescence microscopy), and deep-learning-based analysis for a wide range of biomedical studies including neuroscience, cancer, and quantitative medicine.
More information can be found on our website: https://zhaolab-pku.github.io/
https://mp.weixin.qq.com/s/CGpi5_sSrXohpAyJL7bBRw
For the current project, we are seeking one PhD; one skilled Research Assistant; and Interns to advance methods for 3D spatial multi-omics technologies based on tissue clearing.
Requirements:
• Strong proficiency in molecular biological skills, such as IHC, IF, FISH, microscopey imaging;
• Experience with tissue clearing methods is a plus;
• Familiarity with light sheet or deep learning-based 3D data analysis is an advantage;
Language requirements:
Chinese, proficient in English is a plus
To applicants: Please send following initial application documents to shan.zhao@pku.edu.cn
➢ Resume and Research Motivation Letter
我们长期为科研用户提供前沿资讯、实验方法、选品推荐等服务，并且组建了 70 多个不同领域的专业交流群，覆盖 PCR、细胞实验、蛋白研究、神经科学、肿瘤免疫、基因编辑、外泌体、类器官等领域，定期分享实验干货、文献解读等活动。
添加实验菌企微，回复【】中的序号，即可领取对应的资料包哦～
【2401】论文写作干货资料（100 页）
【2402】国内重点实验室分子生物学实验方法汇总（60 页）
【2403】2024 最新最全影响因子（20000+ 期刊目录）
【2404】免疫学信号通路手册
【2405】PCR 实验 protocol 汇总
【2406】免疫荧光实验 protocol 合集
【2407】细胞培养手册
【2408】蛋白纯化实验手册
【2501】染色体分析方法汇总
【2502】国自然中标标书模板
【2503】WB 实验详解及常见问题解答
【2504】DeepSeek 论文写作常用口令
【2505】中国科学院期刊分区表（2025 年最新版）
【2506】期刊影响因子（2025 年最新版）
【2507】130 种实验室常用试剂配制方法（附全套资料）
【2508】常见信号通路
【2509】限制性核酸内切酶大全
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