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(e.g., Stata or Python), and contributing to literature reviews and academic writing. This position offers hands-on research experience at the intersection of behavioral economics and household finance
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, including single-cell RNA sequencing, spatial transcriptomics, or computational immunology using R or Python, is a plus but not required. Excellent organizational skills, attention to detail, and a
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support a project that is evaluating end-of-life options for wind turbine blade composites. Specifically, it applies computer modeling with the CELAVI Python package to quantify and compare recycling
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to the position, including demonstrated independent research and peer-reviewed publications. Proficiency in statistical programming (e.g., R, Python, or similar) is a requirement, as is fluency in spoken and
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environments; scripting (Python or Shell) for automation and system support Supporting real-time network monitoring and diagnostics via SNMP, Grafana, and other tools, and managing the database Acting as Point
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applications. Key Competencies and Requirements: Bachelor or Master degree in Bioinformatics, Computational Biology, Data Science Proficiency in Python, R, or other data science languages Hands on experience
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and report project progress. Ability and willingness to work some flexible hours. Strong interest in systems research Strong programming skills in C++, Golang, or Rust and Python We regret that only
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VR development for educational uses Good hands-on experience in programming, e.g., C/C++/C#, CUDA, Python, and scripting Track record in research and publication particularly in education Strong
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: C1 Proficient in programming using Python, and deep learning frameworks such as TensorFlow and PyTorch. C2 Research creativity and cross-discipline collaborative ability as appropriate. C3 Excellent
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have an interest in the use of AI in healthcare. Proven competence in programming methods in Python and similar environments is also essential. Informal enquiries may be addressed to Professor David