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Field
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networks, or coupled multi-energy systems Proficient in programming, especially in Python; experience with C/C++ is an advantage Interest in scientific software development, large-scale infrastructure
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, and sustainability transitions; Interest in material flow analysis, life cycle assessment, environmental modelling, and scenario analysis; Experience with programming and/or data analysis (e.g. Python
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Experience in LLMs and developing LLM-based methods is an advantage Programming skills, ideally in Python Structured, analytical, and independent working style Reliability, attention to detail, and enjoyment
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using R and/or Python, with experience in data analysis, computational workflows (e.g. Snakemake, Nextflow), and relevant computational libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow/PyTorch
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irradiation environments. Computational Skills • Python programming (data analysis and scripting). • Linux environments and high-performance computing (HPC) systems. • Simulation data management, post
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, mechanical engineering, computer science, or a related field. Prior experience with computational imaging, Fourier optics, and optical system design is considered a strong asset; Programming skills (Python
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evidence. The aim of this project is to investigate thoroughly whether tVNS genuinely improves cognitive functions. For detailed project information, see: https://rb.gy/wmiqqk (project WP1) Your
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. R or Python), an interest in health data science, and enthusiasm for interdisciplinary research aimed at improving patient outcomes. Applicants must meet the University of Cambridge entrance
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project in atmospheric chemistry and to work with custom-built laser spectroscopy instrumentation Experience in data analysis using mathematical script languages or Python Excellent teamwork and
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and scientific programming in R and/or Python. If your native language is not English and you do not hold a degree from an institution in which English is the language of instruction, you must submit