18 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"Aix-Marseille-Université" Fellowship positions in Singapore
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• Excellent coding skills in python with pytorch (distributed deep reinforcement learning, Transformers, etc.) • Literature review/summarizing skills
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Description We are hiring 1 Research Fellow in computational science and machine learning for extreme weather forecasting applications. The ideal candidate should be skilled in coding, and software development
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propagation and system robustness. Develop, maintain, and document research codes and computational workflows supporting the project. Prepare research findings for publication in high-quality international
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student mentoring Job Requirements: A PhD degree in Mathematics or related areas, with focus on numerical analysis or machine learning. Experience in computational math. Proficient in coding languages
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characterization. Proven experience in development, operation and optimization of THz sources and detection. Experience in THz Imaging. Proficiency in Python programming to develop codes for post-data processing
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., IRB protocol, research grant administration and accounting, maintaining budgets, submitting reimbursement requests, database management, data entry, and data coding) Conducting economic evaluations
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using challenging, noisy industrial datasets (e.g., anomaly detection, predictive maintenance data). Code Maintenance & Documentation: Write clean, efficient, and reproducible Python code (JAX/PyTorch
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degree in mechanical/aerospace/civil engineering with strong expertise in experimental and computational fluid dynamics. The candidate must have experiences in coding, designing and developing flow
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hands-on experience in specific scope Familiarity with required scope (e.g. national codes and standards) Good written and oral communication skills (if applicable) Proficiency in hard skills / job
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. Radionuclide dispersion modelling The migration of radionuclides, in the air or water bodies (both surface and underground) will be modelled using either community dispersion models or in-house-developed codes