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This project aims to elucidate the functions and evolution of transcription factors in diverse cell differentiation processes in plants. We are seeking a motivated individual who will proactively engage in experiments including cultivation of the model plant Arabidopsis thaliana, plant transformation, microscopy-based analyses, and transient reporter assays using Nicotiana benthamiana.

The candidate will also be expected to perform basic data analysis, including transcriptome and single-cell RNA-seq analyses, using tools such as Excel.

Prior experience in these research areas is not required. We are looking for someone who is eager to learn new techniques, communicates actively with lab members, and can independently drive research forward.

Developing single-cell assays and application; Integrating chemistry, materials and microfluidics for streamlined chemical synthesis; developing smart liposomes for cell-mimicking and biomedical application. For more information, please check our website- http://scellse.weebly.com/

1. 主要進行合成生物學研究與代謝體分析，結合基因體學、轉錄體學、蛋白質體學、及AI輔助，研究植物固碳或增加其生產量的調控分子、代謝途徑、或促進生長素。運用分子生物學技術與生化實驗分析，了解合成途徑或特定分子對植物或藍綠菌的生理及生化影響，進一步提出新法以促進光合效率固碳與增加產量。
Studying synthetic biology and metabolomic analyses by combining multi-omics and AI-assisted analysis to explore factors with potential for enhancing plant carbon fixation and productivity. By molecular biology and biochemical experiments, we examine the effects of synthetic pathways and specific molecules on plants and cyanobacteria, contributing to research on improving photosynthetic efficiency and yield.
2. 實驗室日常工作，包含藥品配製，細菌培養，植物種植管理，採購報帳，安全衛生管理。Routine laboratory work, including reagent preparation, bacterial culture, plant cultivation and management, purchasing and reimbursement, and safety and sanitation management.

[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.

【工作內容 / Responsibilities】
本實驗室的研究重點為傳染病及癌症新藥研發，利用結構生物學的技術（X光結晶學，低溫電子顯微鏡）探討新冠肺炎、流感、抗藥性細菌感染以及癌細胞之膜蛋白及醣蛋白結構，作為新藥研發的基礎。
1、藉由分析蛋白質的立體空間結構，作為新藥設計的基礎。
2、運用細胞及動物實驗模型，探討新型藥物之廣度及效能。
My lab foucuses on structural biology and drug discovery in infectious diseases and cancers. X-ray crystallography and cryo-EM are being used to study membrane proteins and glycoproteins in SARS=COV-2, influenza viruses, drug-resistant bacteria and cancers, to provide structural basis for drug-discovery and vaccine design. In vitro cell based assays and in vivo animal models are being used to validate the efficacy of novel vaccines.

Research Focus:
Our laboratory focuses on neurodegenerative diseases, spinal muscular aging, and RNA biology. We investigate molecular mechanisms and regulatory networks underlying disease and aging processes by integrating multi-omics approaches. The lab maintains stable production of high-quality datasets to support long-term, biologically driven research programs.

Position Overview:
This is a research-oriented bioinformatics position responsible for extracting biologically meaningful insights from multi-omics datasets. The majority of the work involves customized analysis and biological interpretation, complemented by routine pipeline execution and workflow evaluation or optimization.
In recent years, our research program has increasingly emphasized single-cell multi-omics, spatial transcriptomics, and long-read sequencing to characterize cellular and molecular changes associated with aging and neurodegeneration.
Initial projects will be conducted in close collaboration with a senior bioinformatician, with the expectation of transitioning toward independent leadership of customized analyses within the first year.
This is a research-oriented bioinformatics position responsible for extracting biologically meaningful insights from multi-omics datasets. The majority of the work involves customized analysis and biological interpretation, complemented by routine pipeline execution and workflow evaluation or optimization.

Laboratory Strengths:
The laboratory provides stable access to high-quality multi-omics datasets and is led by a bioinformatician with over ten years of experience. Authorship is assigned based on actual contribution, and the lab maintains consistent publication output. Funding support is secured for at least five years, and the group sustains long-term domestic and international collaborations, offering a stable and growth-oriented research environment.

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.

Dr. Cheng is a neurobiologist. New positions are open for Laboratory Assistants and Postdoctoral Fellows interested in using the mouse to study molecular and cellular mechanisms of axon guidance and adult neurogenesis.

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

本實驗室利用蘚苔為實驗材料，致力於研究陸生植物的外表形
態環境適應及其訊號傳遞的演化過程機制。本計畫會用到分子
生物、遺傳、基因組編輯、顯微鏡觀察及蛋白純化等技術。歡
迎對植物研究工作有熱忱的你加入。
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

We are actively seeking Research Assistants with an interest in chromatin biology, gene regulation, and functional genomics to join our team. The successful candidate will have strong organizational
skills and enthusiasm for working in a collaborative research environment. We investigate how disease-associated mutations in chromatin regulators and histones disrupt gene regulation.
Research Assistants will support ongoing projects through basic cloning, molecular biology and tissue culture, and will have opportunities to learn CRISPR-based mutagenesis and genomics
techniques.