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My lab at the Institute of Molecular Biology (IMB), Academia Sinica, focuses on the rapid evolution of essential genes and chromosome structures. We are particularly interested in the paradox of how genes and chromosomal features critical for survival and reproduction, typically expected to be evolutionarily conserved, can instead evolve rapidly under strong positive selection. To investigate this, we integrate genetics, genomics, and cytology to uncover the causes and consequences of this phenomenon.

We are seeking 1 postdoctoral researcher to conduct and lead research projects. Candidates will earn authorship on resulting publications and will be strongly encouraged to develop and lead independent projects. Successful candidates will have opportunities to attend international conferences and visit collaborator labs in US or Canada. I’m strongly committed to supporting career development and mentorship for all team members.

Responsibilities:

Lead and contribute to research projects, including international collaborations
Draft and revise manuscripts for publication; assist in grant writing
Develop and pursue independent research directions
Mentor junior lab members
Present data at lab meetings and provide regular project updates
Maintain weekly progress reports on experiments and analysis

Responsibilities for postdoctoral fellow:
• Leading independent research, design and carrying out well controlled, reproducible experiments which address well-developed hypotheses.
• Work closely with other team members and external collaborators.
• Present progress internally and externally through conferences.
• Writing manuscripts and assisting with grant applications.

Responsibilities for research assistant:
• Collaborating with team members to design and establish various biochemical assays, molecular biological techniques, mouse colony management and assist mouse-based experimental techniques when needed.
• Overseeing day-to-day lab operations, provide administrative support, maintenance of safety standards, restock and purchasing, databases and standard operating procedures, and general organization of the lab.

The Cheung Lab, relocating from the Francis Crick Institute (London, UK) to the Genomics Research Center (GRC), Academia Sinica (Taipei) in August 2025, is seeking highly motivated and creative researchers to join our team. In GRC, you will be joining a group of enthusiastic postdocs and PhD students with diverse expertise in cancer research and metabolism and will have access to state-of-the-art approaches and resources in GRC as well as other AS institutes.

Our goal is to understand how cancer cells communicate with their immediate microenvironment as well as distal host tissues and organs to regulate metabolic stress and redox homeostasis in tumours to facilitate growth and metastasis, focusing on pancreatic cancer (Cheung et al. PNAS 2024, Cheung and Vousden Nat Rev Cancer 2022, Cheung et al. Cancer Cell 2020, Cheung et al. Genes Dev 2016, Cheung et al. Developmental Cell 2013). We employ functional genomics, metabolomics, ex vivo organoid models, animal models of cancer, and single cell sequencing to uncover new mechanisms of disease and therapeutic targets. Our work seeks to reveal novel strategies that target both cancer cells and host tissues, offering a more refined, systemic approach to cancer treatment.

Research Associate Positions at IMB, Academia Sinica (Starting October 2025)
My lab at the Institute of Molecular Biology (IMB), Academia Sinica, focuses on the rapid evolution of essential genes and chromosome structures. We are particularly interested in the paradox of how genes and chromosomal features critical for survival and reproduction, typically expected to be evolutionarily conserved, can instead evolve rapidly under strong positive selection. To investigate this, we integrate genetics, genomics, and cytology to uncover the causes and consequences of this phenomenon.
We are seeking 1–2 highly motivated B.S. or M.S.-level research associates to join the lab and contribute to new and ongoing projects. Successful candidates will have opportunities to co-author publications and are encouraged to lead independent research projects. Based on performance, there will be opportunities to attend international conferences and visit collaborating labs in the U.S. or Canada. I am committed to supporting career development and mentorship for all team members.

Responsibilities:
•Perform basic molecular biology experiments:
oPCR, molecular cloning, DNA and RNA extraction, sequencing
•Assist with lab management:
oMedia preparation, ordering supplies, and equipment maintenance
•Take initiative to lead or contribute to research projects
•Present work in lab meetings and provide weekly updates

ASIAA CASA Development Center (ACDC) is a software team for the ALMA-Taiwan project, focusing on quality software development to boost science productivity. Please check https://cartavis.org to see what we are actively working on. We are looking for one software developer and one computing system manager with enthusiasm and interests in astronomy to join our team.

Launched in September 2022, the Kamino Lab investigates the fundamental principles that govern cellular behavior and information processing. With Keita’s background in physics, our lab integrates diverse approaches, including molecular genetics, theoretical physics, microscopy, and machine learning. We are currently seeking two research assistants with strong backgrounds in related fields and a passion for interdisciplinary research. Potential areas of exploration include, but are not limited to:
- Live-cell analysis of cellular behaviors using advanced microscopy techniques
- Theoretical analysis of cell-signaling dynamics using probability, information theory, and dynamical systems theory
- Image and time-series analysis using advanced statistical methods, including machine learning
- Development of cutting-edge measurement tools in microscopy and microfluidics

Launched in September 2022, the Kamino Lab investigates the fundamental principles that govern cellular behavior and information processing. With Keita’s background in physics, our lab integrates diverse approaches, including molecular genetics, theoretical physics, microscopy, and machine learning. We are currently seeking two research assistants with strong backgrounds in related fields and a passion for interdisciplinary research. Potential areas of exploration include, but are not limited to:
- Live-cell analysis of cellular behaviors using advanced microscopy techniques
- Theoretical analysis of cell-signaling dynamics using probability, information theory, and dynamical systems theory
- Image and time-series analysis using advanced statistical methods, including machine learning
- Development of cutting-edge measurement tools in microscopy and microfluidics

The Hsieh lab at IPMB focuses on fungal-bacterial competition (www.labofpie.org). We
combine functional genomics, genetics, and experimental evolution to determine the
mechanisms and consequences of such cross-kingdom competition.

Our lab will start in October 2025. We are seeking 1-2 M.S. level research associates to help establish our new lab. Candidates will have the opportunity to lead independent projects under Phoebe’s mentorship and earn authorship on resulting publications. This position is ideal for someone with microbiology and molecular biology experience who seeks more hands-on research training.

Responsibilities
• Basic microbiology and molecular biology experiments, including:
o Routine handling of bacterial and fungal culture
o High-throughput genetic screens
o Build gene knockout strains
o Molecular cloning, DNA extractions, and sequencing
• Lab management support, including media prep, ordering, and maintaining equipment
• Candidates are encouraged to lead and execute small-scale independent research projects
• Present data at the lab meeting and provide weekly research updates
• Weekly update on the experimental progress
• 2-year minimum appointment

1.研究助理：協助研究或獨立研究。
Research Assistants: Assist in research-related tasks or work on an independent project.
2.博士後研究員：表觀遺傳與轉錄調控於發育及疾病之角色。
Postdoctoral Fellows: Conduct research on the roles of epigenetics and transcriptional regulation in development and diseases.

針對臺灣地區一般民眾，執行臺灣人體生物資料庫計畫大台北地區宣導及收案作業。
工作內容包括：計畫宣導、問卷訪談、身體檢測、抽血與檢體處理等。

The research interest in our lab is to study the post-transcriptional gene regulation with the approaches of genomics and molecular biology. The projects will focus on RNA splicing, translation and stability. Using human cell lines as our major model system, and combining computational biology, molecular biology and next-generation sequencing, we aim to understand how sequence variations contribute to post-transcriptional regulation in diseases.

Research on Optimization of Deep Learning Model Inference and Training

The Computer Systems Laboratory - Machine Learning Systems team focuses on research areas including parallel and distributed computing, compilers, and computer architecture. We aim to leverage computer system technologies to accelerate the inference and training of deep learning models and develop optimizations for next-generation AI models. Our research emphasizes the following:

1. AI Model Compression and Optimization
Model compression techniques (e.g., pruning and quantization) reduce the size and computational demands of AI models, which are crucial for resource-constrained platforms such as embedded systems and memory-limited AI accelerators. We aim to explore:
* AI compiler: deployment methods for compressed models across servers, edge devices, and heterogeneous systems.
* High performance computing: efficient execution of compressed models on processors with advanced AI extensions, e.g., Intel AVX512, ARM SVE, RISC-V RVV, and tensor-level accelerations on GPUs and NPUs.

2. AI Accelerator Design
We aim to design AI accelerators for accelerating AI model inference, focusing on software and hardware co-design and co-optimization.

3. Optimization of AI Model Inference in Heterogeneous Environments
Computer architectures are evolving toward heterogeneous multi-processor designs (e.g., CPUs + GPUs + AI accelerators). Integrating heterogeneous processors to execute complex models (e.g., hybrid models, multi-models, and multi-task models) with high computational efficiency poses a critical challenge. We aim to explore:
* Efficient scheduling algorithms.
* Parallel algorithms for the three dimensions: data parallelism, model parallelism, and tensor parallelism.

(一) 研究方向：
1. mRNA癌症疫苗的開發研究
2.發展癌症疫苗與細胞免疫治療
(二) 研究內容：
以產品開發為導向，有機會接受初階商業課程訓練，目標為未來臨床應用。