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Field
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bioaccessibility or bioavailability testing is a strong advantage. Ability to perform quantitative data analysis and multivariate statistics (e.g., PCA); proficiency in Origin, R, or equivalent software
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research within a team, and proven ability to build collaborations. Proficient in programming with Python, Java and SQL and testing using open-source tools. Understanding of database and data analysis
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characterisation to evaluate product performance and guide formulation refinement. Consolidate formulation, processing, and performance data to support techno‑economic analysis (TEA), life‑cycle assessment (LCA
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(published more than 4 journal papers) Good English writing and communication skills - essential for data analysis and communication with stakeholders Experience in supervising research students and writing
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spectroscopy instrumentation and spectral data analysis. Preferred Experience in microfluidic chip fabrication (soft lithography, PDMS, or micro-machining). Experience with aptamer selection or molecular
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, MATLAB) and experience with data analysis tools. • Ability to work both independently and collaboratively within a multidisciplinary team. • Open to fixed-term contract.
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/civil/structural engineering, including familiarity with building management systems, software integration, data collection and analysis. Knowledge of construction QA/QC and quality control workflows (e.g
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for sequencing data processing (e.g., quality control, taxonomic classification, microbial community analysis). Demonstrated experience working in interdisciplinary or industry-linked research projects. Key
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learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL • Organic synthesis, polymer chemistry, synthesis
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learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL • Organic synthesis, polymer chemistry, synthesis