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, microbiology, plant science, soil science, or a related discipline, along with demonstrable experience of research using molecular techniques, isotope tracers and statistical or bioinformatic analysis of large
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accurately collecting data with subsequent robust analysis using appropriate statistical methods. Essential Application/interview Ability to update and acquire new skills and knowledge in line with advances in
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, develop and refine experiments in order to obtain reliable data. Accurately record results, providing data analysis and presenting findings to colleagues at lab meetings. Plan and prioritise your daily work
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independently, prioritise tasks, and contribute to collaborative team goals Essential Application/Interview Experience with tools used in digital pathology or bio-image analysis OR transferable experience with
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analysis and visualisation to understand the main characteristics of prospective biomarkers and identify relationships between them. To identify the most consistent, non-redundant, and relevant features
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in any element of the recruitment process please contact bioscienceshradmin@sheffield.ac.uk Our vision and strategic plan We are the University of Sheffield. This is our vision: sheffield.ac.uk/vision
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pigments, and perform small molecule analysis using techniques such as HPLC and mass spectrometry. Main duties and responsibilities 1) Design constructs to generate a range of genetically engineered strains
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criteria Experience working with unfamiliar open-source software (assessed at: application/interview). Familiarity with basic experimental evaluation and data analysis (e.g., plotting results, interpreting
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findings to project collaborators and at conferences (assessed at: interview). Strong problem-solving and critical-thinking skills (assessed at: interview). Expertise in statistical analysis of experimental
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findings to project collaborators and at conferences (assessed at: interview). Strong problem-solving and critical-thinking skills (assessed at: interview). Expertise in statistical analysis of experimental