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will be given to candidates who are PhD students, or who have at least a Master's degree in Data Science or a similar field. Proficiency in coding with Python. Experience in monitoring code performance
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, implementation, analysis of experimental results), Skills in writing scientific articles in English, Skills in organizing multi-partner scientific work, Excellent skills in programming languages (Python, Matlab
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: Proficiency in scientific computing and experience with programming languages such as Python, Julia, or Matlab. Experience in mathematical modeling and computational simulations, particularly in the context
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training to align with the emerging needs of our society and students’ diverse learning interests. Please visit the website at http://www.polyu.edu.hk/apss/ for more information about the Department. Duties
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include designing and implementing full-stack applications, spanning backend services, APIs, and open-source software, with a primary focus on Python-based, scalable, and robust systems deployed in cloud
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, optical spectroscopy, etc...), electrode/material deposition and device testing techniques, and/or laser operation and laser pumping experiments. * Good programming skills in Python or similar languages
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. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
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. You will be co-supervised by Dr. Vassilis Sitokonstantinou and Prof. Ioannis Athanasiadis. Where to apply Website https://www.academictransfer.com/en/jobs/360046/phd-position-trustworthy-ai-and
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, Engineering, mathematics or related disciplines with a strong background in data analysis, mathematical modeling and algorithms Good programming skills in Python/C/C++ Good oral and written skills in English
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This doctoral position is part of GRAIL (“Gamma Radiation from the Atmosphere for Investigation and Learning”), a prestigious Horizon Europe Marie Skłodowska-Curie Actions Doctoral Network (MSCA-DN): https