30 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "UNIV" Postdoctoral positions in China
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determination, molecular biology. 3. Fluent in English. Application Materials Required: Further Info: https://www.cimrbj.ac.cn/en/channel/1864142817505447936.html 10 Xitoutiao, Youanmen Wai, Fengtai District
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at the Institute of Theoretical Physics, Chinese Academy of Sciences at Beijing (ITP-CAS, https://english.itp.cas.cn/about/profile/ ) invite applicants for one or more postdoctoral positions, starting on Fall 2026
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: https://www.cimrbj.ac.cn/en/channel/1864142817505447936.html 10 Xitoutiao, Youanmen Wai, Fengtai District, Beijing 100069, China
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directly to sms@nuist.edu.cn. Please write the subject of the mail as “Your Name + Major+ Job Title + Mathjobs” . For the full position announcement and information on how to apply, please visit https
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and Optimization Algorithms Strong programming skills (proficient in Python, PyTorch/TensorFlow, etc.). Strong intellectual curiosity, ability to solve problems independently, and excellent teamwork
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for the prestigious China/Jiangsu Province Postdoctoral Innovative Talent Support Program. Successful nominees will receive enhanced benefits, including a significantly increased stipend and a dedicated travel budget
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, education allowance, relocation support etc. Adequate research funds, and university’s supports to apply for national, provincial and municipal talent programs. Requirements: Ph.D. in Mathematics
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Language Models Time-Series Data Prediction and Modeling Intelligent Decision-Making and Optimization Algorithms Strong programming skills (proficient in Python, PyTorch/TensorFlow, etc.). Strong
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Diagnosis Industrial IoT and Edge Computing Good programming skills (e.g., Python, MATLAB, C++) and experience with system simulation. Experience with industrial field projects or familiarity with DCS/MES
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Decision-Making and Optimization Algorithms Strong programming skills (proficient in Python, PyTorch/TensorFlow, etc.). Strong intellectual curiosity, ability to solve problems independently, and excellent