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programming in Python, R, or similar languages Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to
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regulation. Programming, scripting, or computational workflow development, including R or Python. Experience working across interdisciplinary projects involving analytical technology development and
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journals strong programming skills the ability to work independently as well as in an international, interdisciplinary team with industrial partners excellent written and spoken English Who we are
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. Strong skills in scientific scripting (R, Python) and programming. Experience with High-Performance Computing (HPC) environments and the management/analysis of large datasets. The ability to
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. Excellent programming skills in R and Python or similar. Advanced statistical and data-analysis skills. The ability to work independently, develop research questions, and think creatively and critically
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computational skills, including substantial experience with command-line environments, scripting/programming (R, Python and Bash), high-performance computing and development of reproducible analysis pipelines
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large oceanographic and climate datasets, including observational and experimental data. • Proficiency in scientific programming and data analysis tools (e.g., Python, R, Linux/Unix environments
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ideally with some experience of cancer research and evidence of genome editing and working with complex pre-clinical in vitro and in vivo models. Programming expertise in Python and R is desirable. As
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, Earth system science, geography, biology or similar, and have experience with: Geospatial and statistical analyses of remote sensing and ecological data, Good programming skills, ideally using R
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proficiency in English Assessment criteria and other qualifications: Experience in the Python programming language Experience in mounting micro-crystals Experience with experiments at synchrotron radiation