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Field
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be taught Experience with quantitative and/or qualitative research methods Strong statistical and programming skills (e.g., R, Python, SPSS, or other relevant tools) Excellent written and oral
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areas in credible journals and conferences Knowledge and relevant project experience with the modelling of urban water systems Experience with Python for advanced programming, both design and planning, as
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Python, TensorFlow, PyTorch, or similar frameworks. MS or higher degree (PhD preferred) degree in Computational Neuroscience, Computer Science, Bioinformatics, or a related field with demonstrated ability
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for appointment. Solid background in machine learning and scientific profile relevant to the project described above. Proficiency in scientific programming (Python) and deep learning frameworks. Fluent oral and
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Experience with high-throughput sequencing omics data analysis Proficiency in programming with Python, R, or C++ Candidates without a master’s degree have until 31 August 2025 to complete the final exam
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programming languages such as Python or R and data-analysis platforms for genomics, proteomics, and transcriptomics. Excellent project management skills. Ability to multitask and work within timelines. Capable
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graduates are also welcome to apply) Strong programming skills in Python with experience in data manipulation, analysis, and machine learning libraries Demonstrated experience in applying advanced AI/ML
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optical setups and measurements. • Working knowledge and understanding of quantum optics and ultrafast optics. • Good with data analysis using Matlab, Python, etc. • Good in research and strong
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and maintain Python and R codebase for transit routing and GIS operation automation. · Generate and write grant proposals with Dr. Liu on various topics. · Work with undergraduate and graduate students
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partners. A good working knowledge of programming tools like MATLAB or Python, and familiarity with aircraft systems modelling, artificial intelligence applications, and simulation tools will be highly