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physics. Experience in surface science, crystallography, Python programming, and/or quantum chemistry will be considered an asset. Excellent communication skills are essential, with the ability to work and
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skills: Strong background in chemistry, physical chemistry, materials science, or condensed matter physics. Experience in data science, Python programming, high-performance computing and/or quantum
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mechanics) with data-driven techniques. • Proficiency in Python (NumPy, TensorFlow/PyTorch) and MATLAB. • Familiarity with deep learning architectures, particularly recurrent neural networks (e.g., LSTM) and
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. Experience using Python in a professional setting. Experience using data visualization tools (i.e. Tableau, Power BI or similar) Highly proficient in MS Office software with advanced knowledge of Excel. Strong
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(Comparative Effectiveness and Real-World Data Analytics) Position Summary The Centre for Health Intervention and Policy Evaluation Research (HIPER) (https://hiper.nus.edu.sg/) at the Saw Swee Hock School
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should demonstrate potential for teaching a variety of undergraduate statistics and data science courses, including courses using R or Python. Responsibilities include teaching two undergraduate courses in
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and optical aperture synthesis) and testing (calibration and performance verification). You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship
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related fields. Quantitative/data analysis skills (Python, MATLAB, or similar). Hands-on experience in single-molecule techniques. Driven, organized, and team-oriented with a solid publication record
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. Require skills The candidate should have strong expertise in cybersecurity and/or machine learning/deep learning, particularly in representation learning. Proficiency in Python programming is expected
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., MATLAB, Python) Understanding of thermodynamics and gas transport processes Ability to develop, implement, and test numerical algorithms Ability to work independently and collaboratively in a research team