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student with a degree in plant biology or microbiology and a keen interest in chemical soil ecology. Experience with bioinformatics or programming (e.g. R/Python) is desirable. We welcome applicants from
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of Sheffield and Utrecht. Experience in plant metabolomics, transcriptomics, and/or programming (R/Python) is desirable. We welcome candidates from diverse backgrounds who enjoy combining wet-lab and omics
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of relevant scientific programming language(s) (e.g. MATLAB, Python) Essential Application Experience using the Ice Sheet and Sea Level System Model or similar numerical ice flow models and/or Experience using
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that improve confidence, engagement, and equitable preparation for all incoming physics students. The Research Problem and Context Computational skills (such as Python programming), sophisticated applied
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abilities in Python or MATLAB for developing material accountancy algorithms and running Monte Carlo simulations, along with excellent written and oral communication for engaging diverse stakeholders from
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of coding (R and/or Python), enthusiasm for quantitative analysis Desirable: GIS/remote sensing, bioacoustics, machine learning, or statistical ecology. Field experience is useful but not required. Impact and
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development (e.g. Python). Training Opportunities: The successful candidate will receive comprehensive training in: • Mathematical modelling of biological systems. • Advanced microscopy and experimental
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. Matlab, python, FORTRAN, C/C++ (or equivalents). Essential Interview Specific expertise in experiment design and testing of structures across environmental conditions. Essential Interview Effective
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engineering or bioengineering. - Proficiency in image processing techniques, finite element analysis software (e.g., Abaqus, Ansys), and programming languages such as Python and Matlab. - Strong analytical and
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experience of developing software in Matlab, C++ or Python Essential Application Demonstrable writing skills including both academic papers and reports for other internal and external purposes Essential