福州
研究方向：人工智能與機器學習驅動的計算代謝組學
2014年5月，福建農林大學代謝組學研究中心（簡稱代謝中心）chengli，yaoqingguojidingjianzhuanjiadanrenxueshuzhidaoweiyuan，bingzhaomuleyipiyongyouchusexueshushuipingdezhongqingnianxuezhedanrenketizuchang。daixiezhongxinyijianlilebaokuodaixiezuxuepingtai、細胞生物平台、遺傳轉化平台等先進的科研平台，為開展高水平的代謝調控機製研究提供堅實保障。2015年5月，代謝中心與美國加州大學河濱分校共建fafu-ucr園藝生物學及代謝組學聯合中心。
代謝中心聚焦農業的重要科學問題，將在模式植物（擬南芥、大豆等）及福建省主要園藝作物（茶葉、草莓、番茄、青梗菜等）中，運用代謝組學和細胞生物學等手段開展前沿研究，立誌在短期內取得一批學術成果，並成為具有國際影響力的高水平研究中心。
一、任職要求
1.計算機科學、生物信息學、計算生物學、生物化學或相關領域博士學位，並具備至少3年博士後或同等科研經驗。
2.以第一/通訊作者在高水平期刊上發表過代謝組學或ai生物計算領域論文。
3.精通python/r編程，具備深度學習框架實戰經驗，熟悉代謝組學數據格式及分析流程，具備多組學數據整合經驗。
二、條件待遇
1.優秀博士畢業生可申請正式編製。
2.待遇麵議，享受五險一金等福利待遇。
3.符合認定福建省高層次人才（abc類）要求，另享受25-100萬元安家補助。具體參考：https://mp.weixin.qq.com/s/cwzxs-infcj_dcbgiamuea。另有福建省教育科研類引進生選拔計劃，入選者待遇優厚。具體參考：https://fjhnbc.hxrc.com/yjs/main.aspx。
三、投遞說明
簡曆請投遞至：（點擊查看），請【點擊下方“立即投遞/投遞簡曆”，即刻進行職位報名】
independent pi position at hbmc,fujianagriculture andforestryuniversity
field: ai- and machine learning-driven computational metabolomics
about hmdb
established in 2014, the fafu metabolomics center (hbmc) operates under the guidance of a scientific advisory committee led by dr. yang zhenbiao. the center has assembled a team of young principal investigators renowned for their academic excellence, developed state-of-the-art research platforms, and remains committed to pioneering cutting-edge investigations.
co-founded in may 2015 by the institute for integrative genome biology (iigb) and the haixia institute of science and technology (hist), hbmc serves as a joint research hub aimed at fostering deeper scientific collaboration. core faculty members from both hbmc and iigb play key roles in this partnership.
hbmc's research focuses on both model plant species (such as arabidopsis and soybean) and major horticultural crops cultivated infujian, including tea, strawberry, tomato, and chinese cabbage. by integrating metabolomics and cell biology approaches, the center aims to address fundamental biological questions and strives to achieve global recognition in the near future.
job requirements
1. ph.d. in computer science, bioinformatics, computational biology, biochemistry, or a related field, with a minimum of 3 years of postdoctoral or equivalent research experience.
2. proven track record of publishing as a first/corresponding author in high-impact journals within the fields of metabolomics or ai-driven computational biology
3. proficient in python/r programming, with hands-on experience in deep learning frameworks; familiar with metabolomics data formats and analysis workflows; experienced in multi-omics data integration.
terms and benefits
1. outstanding ph.d. graduates may apply for a permanent position.
2. compensation is negotiable and includes standard social insurance and housing fund benefits.
3. candidates who meet the criteria for fujian province high-level talent (categories a, b, or c) are eligible for additional relocation subsidies ranging from 250,000 to 1,000,000 rmb. for details, refer to: https://mp.weixin.qq.com/s/cwzxs-infcj_dcbgiamuea. in addition, there is a selection program for introducing educational and research talents infujianprovince. for more details, refer to: https://fjhnbc.hxrc.com/yjs/main.aspx.
how to apply
please send your resume to:（點擊查看）
信息來源於網絡，如有變更請以原發布者為準。
來源鏈接：
https://hbmc.fafu.edu.cn/41/57/c9520a409943/page.htm
