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data (nationwide LiDAR coverage at 50 cm resolution). The candidate will perform quantitative morphometric analyses of landscapes and river networks near suspected active faults using GIS tools, Python
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lead to a PhD position at SPMS in NTU Singapore (based on performance). Key Responsibilities: Contribute to the development of algorithms Develop codebase in Python and perform large-scale simulations
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analysis, and experimental techniques Background in condensed matter physics or materials science Programming skills (C++, Python, ROOT) are a strong asset Good command of English (spoken and written
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*ideal candidate* is expected to have: - Very good experience in programming in Python or Matlab and data analysis (essential) - Research experience (essential, e.g., through research MPhil/Master’s degree
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expertise in programming (C++, Python), computer architectures and Deep Learning (PyTorch, TensorFlow). Exceptional international candidates may be eligible for a fee waiver (read the following section
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techniques and the physical principles behind them Interest in scientific programming using Python Excellent communication skills and ability to integrate easily into interdisciplinary research team Additional
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programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS) Demonstrated skills in handling and analysis of large datasets Consideration will also be given to good collaborative skills, drive
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expected to learn basic R or python to generate plots and analyze data. Qualifications Requirements for employment are: You have deep knowledge of immunology including autoimmunity You have experience
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or signal analysis • Programming in Python or R • Statistical modelling Applicants without prior AI experience are encouraged to apply, as structured AI/ML training will be provided. Dairy Cattle Welfare
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of programming languages such as C++, Fortran, Python, Julia. Soft skills in the context of scientific writing and presentation, including knowledge of the typesetting language LaTeX The candidate has to be fluent