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Field
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, topological photonics, photonic crystals, or single-photon measurement techniques is advantageous. Proficiency in scientific programming and data analysis tools such as Python or MATLAB. Strong analytical
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: Review of existing, planned, and proposed policy instruments for DAC Development of a cash flow model in Python to model the policy impacts Assessment of policy support levels and types for enabling DAC
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: Programming and computing skills, including familiarity with statistics and machine learning software, such as those in Python and PyTorch. Strong mathematical and statistical background at the research level
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/low-frequency electromagnetic systems. Good publication record in relevant research areas. Proficiency in MATLAB, Python, C/C++, or equivalent tools for simulation, data analysis, and automation. Good
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techniques e.g. Gaussian/Amber/Schrödinger/python/bash We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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large-scale environments using on-premises and cloud deployments Proficiency with automation, scripting, and configuration management systems such as: Puppet, Ansible, GitLab CI/CD, and Python Ability
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automation skills using languages or tools such as Python, Bash, PowerShell, or similar technologies. Experience with directory services, identity federation, and authentication technologies including Active
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methodologies and support reproducible data curation practices Job Requirements: Bachelor’s degree in Chemistry, Data Science, Computer Science, or a related field Proficiency in Python for data processing
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Excellence: Demonstrates expert-level Python skills and a strong commitment to Software Engineering best practices, writing code that is clean, modular, and maintainable. MLOps & Cloud Proficiency: Fluent in
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catalysis. Strong programming skills in Python; experience with scientific computing and data analysis. Experience with first-principles calculations (e.g., DFT), molecular dynamics, or machine learning