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to offer. Qualifications: Required: PhD in ecology by start date Experience in plant phenology, biogeography, and spatial and temporal modeling (Bayesian and frequentist) Expertise in R or Python, GIS, big
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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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quantitative data analysis. Proficiency in programming (e.g., JavaScript, Python, React for iOS/Android) is important. Additional strengths would include experience with physiological sensing (e.g., EEG
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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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., TensorFlow, PyTorch) and transfer learning models. Proficiency in Python programming and handling medical image datasets. Strong understanding of computer vision, CNNs, and attention mechanisms. Experience
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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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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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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