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Highly desirable:
• Metabolomics: Proficiency in Mass Spectrometry or NMR-based metabolic profiling and analysis.
• Systemic Interaction: Experience in studying the Immune System or the Nervous System.
• Expertise in designing and executing complex in vivo experiments. A strong background in developing, breeding, and analyzing genetically modified animal models applied to cancer biology or neuroscience.

The position is to develop and apply nonlinear ultrafast laser spectroscopies to studies of quantum geometric phenomena and ultrafast electromagnetic responses in topological quantum metals.

The candidate will be devoted to execute laser spectroscopic experiments, analyze the data, and write manuscripts.

辦理IACUC相關業務，落實執行IACUC效能

1. Positions will entail independent projects in research topics spanning R-loop dynamics, genome organization, DNA damage repair, and cancer progression and drug resistance.
2. Perform molecular biology and cell biology experiments (e.g., tissue culture, CRISPR cloning, library preparation).
3. Conduct proteomics and genomics-related experiments.
4. Analyze sequencing and genomics data using Python and R
5. Assist in laboratory organization, inventory management, and ordering reagents.
1.本職位將進行獨立研究計畫，研究主題涵蓋 R-loop 動態、基因體結構、DNA 損傷修復，以及癌症進展與抗藥性等領域。
2.執行分子生物與細胞生物學實驗（如細胞培養、CRISPR 克隆、定序文庫製備等）。
3.進行蛋白質體學與基因體相關實驗。
4.使用 Python 或 R 進行定序資料與基因體數據分析。
5.協助實驗室日常管理（試劑訂購、庫存整理等）。

大氣雲模式及降水粒子運動數值模擬與分析
Perform numerical simulation and analysis of atmospheric cloud model and precipitation particle motions.

[Bacterial Evolutionary Genomics] This position involves largescale comparative analyses of genome sequences to investigate genetic diversity and diversification across bacterial lineages. The research focuses on developing species delineation methods to improve taxonomic frameworks and identification accuracy, while also examining key genes associated with bacterial diversification to provide new insights into evolutionary and functional genomics. For related research projects and recent publications, please see our lab website: https://ipmb.sinica.edu.tw/chkuo/

The NanoBioPhotonics Laboratory (NBP Lab) is dedicated to developing advanced optical microscopy technologies and integrating them with chemical and biological techniques. Through interdisciplinary approaches, the lab quantitatively investigates nanoscale structures and dynamics in living cells. Responsibilities include optical system development, operation, and optimization, live-cell experiments, image and data analysis, execution of research projects, and publication of research results.

We conduct research in diverse areas of computational biology, data science and machine learning, including multi-omics data integration of cancers, optimal treatment design for heterogeneous and evolving tumors, single-cell omics data analysis, evolution of biomolecular networks and human populations, topological characterization of networks, and unsupverised learning using deep neural networks. Group members will gain experience in learning domain knowledge, performing scientific reasoning, formulating and solving mathematical models, developing algorithms, writing programs and using existing packages, collecting and analyzing big data, and interacting closely with international and domestic collaborators. We look for motivated persons curious about open scientific problems and willing to dedicate energy and time to solve them.

Prospective candidate should have a strong interest in chromatin biology, gene regulation and/or functional genomics. We investigate how disease-associated mutations in chromatin regulators and histones disrupt gene regulation.

Website: https://www.imb.sinica.edu.tw/en/faculty/profile/hskwok.html, https://kwokchromatinlab.org

Our laboratory is currently seeking two postdoctoral researchers and additional research assistants with expertise in molecular and cell biology techniques. Responsibilities include the development of a high-throughput analysis platform to investigate protein degradation and biomolecular interactions. The ultimate goal of this research is the development of targeted protein degradation therapeutics. Interested candidates should submit their CV to hcyen@as.edu.tw.


About us: http://gps.imb.sinica.edu.tw/
About lab: https://www.imb.sinica.edu.tw/en/faculty/profile/hyen.html

The lab is using moss (Physcomitrium patens) as a model to
investigate various developmental biology-related questions
in plants. The lab routinely employs techniques such as
genetic manipulations, protein expression/purification, and
confocal microscopy observation. We encourage those
interested in plant biology to be part of the team.
實驗室網站：https://sites.google.com/view/kock-lab/home

Overview
We are seeking 1–2 postdoctoral fellows to join our lab in studying polymicrobial
interactions and host–microbe interactions with agricultural relevance. Our research
integrates comparative genomics, ecological sampling, microbial genetics, and
functional assays to understand how fungi, bacteria, and phages interact within
polymicrobial communities and how these interactions influence microbial pathogenesis
in plant hosts.
Our lab has strong expertise in functional genomics and experimental evolution, using
bottom-up approaches to address these questions. We welcome postdoctoral
researchers with complementary interests—such as plant immunity, evolutionary
genomics, or microbial ecology—to join our team. This position is ideal for recently
graduated PhD scientists who are passionate about microbial interactions and aspire to
pursue a faculty position in academia.
The position is open until filled.
Lab website: www.labofpie.org
Research Topics
1. Genetic basis of fungal–bacterial–phage interactions and their impact on
microbial community development
2. Comparative analysis of microbial pathogenic genes in single versus mixed
infections
3. Bioinformatic and evolutionary analysis of antimicrobial genes in plant pathogens
Job Responsibilities
1. Lead and contribute to independent and collaborative research projects
2. Design and conduct experiments and/or computational data analyses
3. Develop and maintain standardized laboratory protocols or bioinformatic
pipelines
4. Actively participate in manuscript preparation and scientific presentations
5. Mentor graduate and undergraduate researchers