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relevant discipline and possess sufficient specialist knowledge in the discipline. You should be proficient in Python or R with experience in data science libraries, advanced NLP and LLM techniques and
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. Additional Skills (Preferred): Experience with environmental data analysis (R, Python, multivariate statistics). Experience in GIS and ecological mapping. Strong scientific writing skills and command
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: PhD in solar energy, electrical engineering, or environmental sciences. Proficiency in PV systems, instrumentation, and performance measurement. Experience in processing environmental data (Python, R
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-On" experience must include the following: (A) 3 (or 5) years' experience with Data visualization tools, such as Tableau, D3.js, GGplot, etc.; and/or common data science toolkits, such as Anaconda Python, Apache
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primary responsibilities will include cleaning and organizing raw image data, generating annotations, and implementing preprocessing pipelines using Python and OpenCV. You will also help construct and
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statistical methods, and their application to healthcare technologies research. Essential Application Excellent programming skills in Python, Julia or similar, including scientific computing and code curation
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WEKA, VAST, GPFS, BGFS, CEPH. Experience with installing and supporting: Open source and commercial research related software, Python, R, Matlab, Mathworks, Julia, Ansys, Intel, nVidia CUDA and GCC
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. Possess experience of using Linux operating systems. You will bring: Fluency in programming languages such as Python, R, and C++. Strong analytical and problem-solving skills to identify and resolve issues
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statistical methodologies and experimental design and power analysis. Skilled in required programming languages such as R and Python. A commitment to best practices in data security, governance, and analysis
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(TCP/IP, ISO/OSI) Strong understanding of networking performance indicators (latency, jitter, delay) Good programming skills in Python Good understanding of Python libraries for data analysis (Pandas