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spectrometry facilities through routine maintenance, calibration, quality control and troubleshooting, and use appropriate protocols to process samples for analysis. The ideal candidate will have experience
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instrumentation or related applied engineering fields (industry or advanced academic experience considered). Demonstrated experience designing and building physical prototypes (not just CAD design). Strong CAD
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approaches to process and build new materials, and to better understand how enzymes work. How to apply Applications will be reviewed on a rolling basis. In your cover letter, please clearly explain your fit
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or supervising junior staff Key Attributes Highly organised and process-driven Proactive and able to take ownership of operational systems Strong problem-solving mindset Collaborative and supportive team player
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, computational biology, computer science, mathematics, physics, or another quantitative field Significant experience developing bioinformatics methods for efficient search and storage of DNA sequences, genome
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or academia. BSc or BEng (or equivalent) in Engineering, Physics, Bioengineering, or related field with specialisation in microfluidics, MEMS, or lab-on-a-chip systems 4+ years’ experience in microfluidics, lab
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safely by the wider team. Requirements Essential Knowledge, Skills and Experience: Bachelor’s or Master’s degree in Computer Science, Computational Biology, Engineering, Physics, Mathematics, or a related
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, contribute to impactful scientific publications, and actively support the mentorship of junior researchers. Working at the intersection of chemistry, biology, physics, and engineering, you will play
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or academia. BSc or BEng (or equivalent) in Engineering, Physics, Bioengineering, or related field with specialisation in microfluidics, MEMS, or lab-on-a-chip systems 4+ years’ experience in microfluidics, lab
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of applications, the review and decision process may take 3–6 months. Key Responsibilities for all Research Assistants: Assist in scientific studies and experiments by collecting and analysing data under