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background with hands-on Python skills. Experience with predictive or uncertainty-aware modelling, AI-guided experimentation or related data-driven methods. Experience with materials, manufacturing
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machine learning/data science, with hands-on Python and experience with modern ML frameworks. Experience with one or more of time-series/sequence modelling, state estimation, constrained or Bayesian
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groups, workshops or surveys. Strong quantitative and computational skills, including demonstrated ability to analyse complex agronomic, environmental, survey or behavioural data using R, Python
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/Python/Unix) Competence in statistics (R/SPSS/Stata) Personal characteristics Team player Self-driven/ independent Structured and well organized Good communication and collaboration skills Positive and
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Published first author papers in well recognized journals It is an advantage if you have: We prefer candidates who have the following skills and experience: Proficiency in R, Python, and shell scripting
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, alignment, operation and/or application of optical microscopy systems, Strong background in image analysis or similar scientific data analysis using Python or MATLAB, An interest in working in a
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analysis and scientific programming, for example using Python, MATLAB or equivalent tools. Familiarity with image/spectral analysis tools such as MATLAB, Python and basic AI tools Willingness to undertake
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skills (Python, R, or similar) and experience building or maintaining analysis pipelines Experience with RNA-seq, single-cell genomics, and/or proteomics data Familiarity with machine learning or LLM-based
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well as other integrated assessment or earth system models, is highly desirable. Advanced programming skills in R and Python for data processing and visualization. Strong quantitative and analytical skills in
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the development, operation or application of optical spectroscopic instrumentation, such as Raman spectroscopy. Experience with data analysis and scientific programming, for example using Python, MATLAB