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International Ph.D. Recruitment Announcement
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research group introduction: the nanobiology-ai molecular group at the multi-disciplinary research division of the institute of high energy physics, chinese academy of sciences, focuses on cutting-edge research areas such as multiscale simulation computing of nanobiological effects, synchronous online data biomedical image big data mining, and the application of deep learning in the design prediction of novel nanomedicines and materials. we are currently seeking passionate ph.d. candidates to join our team, explore the unknown realms of science, and contribute to the advancement of scientific knowledge. recruitment requirements: we are looking for outstanding ph.d. candidates who meet the following criteria: 1. have relevant experience in machine learning, with a background in disciplines such as computer science, physics, and chemistry. 2. candidates with a foundation in physics and chemistry will be given priority. 3. possess strong english communication skills for effective collaboration in an international research environment. 4. demonstrate excellent teamwork and interdisciplinary collaboration skills. what we offer 1. advanced experimental equipment and computing resources to support in-depth research. 2. an international research environment, collaborating with high-caliber researchers to broaden academic perspectives. 3. opportunities for interdisciplinary research, fostering the development of academic innovation in ph.d. candidates. 4. close collaboration with partners, participation in innovative research projects, and opportunities for career development. application process: prospective candidates are invited to submit their resume, statement of research interests, and letters of recommendation to contact email. the application deadline is january 30, 2024. interviews will be conducted shortly after the application deadline, and suitable candidates will be notified promptly. contact information: contact person: dr. qingmeng li contact email: liqm@ihep.ac.cn research group website: https://www.zhaolinalab.com/ we welcome motivated individuals interested in research to join our team, collectively explore the unknown frontiers of science, and embrace the challenges of technological innovation! |
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