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sustainability. For more details, please view https://www.ntu.edu.sg/ase . The Wetland Carbon Lab at NTU’s Asian School of the Environment (ASE) focuses on understanding the role of aquatic ecosystems, including
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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of the most recent econometric methods to study the evolution of wealth accumulation from incomplete tax data. The applicant needs to have advanced programming skills in Stata, R and Python
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of previous outputs and professional development. C5 Proficiency in programming with Python, C++, and familiarity with AI frameworks. C6 Good understanding of WSI formats and tools (OpenSlide, QuPath
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dissemination through scientific conferences (oral presentations/posters), peer-reviewed journals and outreach. Where to apply Website https://calls.bcbl.eu Requirements Research FieldTechnology
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of machine learning or quantum computing Programming skills in Python and/or C/C++ Experience with scientific software tools and numerical libraries Familiarity with Linux-based computing environments Ability
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skills. Is confident using digital learning tools such as Python, SAS, Stata or similar. Holds (or will soon complete) a doctorate in Finance or a closely related field. Enjoys contributing to the wider
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Linux, Python, and at least one additional programming language. Experience working with large, existing codebases. Experience in building web applications and APIs. Technical Skills or Knowledge
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Python and PyTorch Assist in dataset preparation, preprocessing, and augmentation Run training and evaluation pipelines Analyze experimental results and document findings Collaborate closely with graduate
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. Practical experience applying machine learning or deep learning methods to biological data. Proficient in Python, with working knowledge of bash and experience using HPC or cluster environments (e.g. SLURM