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Field
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experience includes: Nano-imaging or sensing methods Optical or vibration detection technologies AI/machine learning for imaging and sensing Background in biology, microbiology, or biomedical sciences
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such as: Nutrition: conducting Randomized Controlled Dietary Interventional Human Trials Physiology: training in i) ultrasound methods to assess endothelial function and blood flow in human arteries; ii
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by exploring a novel therapeutic angle that could overcome the limitations of current anti-inflammatory drugs. How will you do this? You’ll be trained to use state-of-the-art methods like live imaging
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). Experience with qualitative research methods (e.g., ethnography, qualitative interviews, focus groups, or participatory design). Knowledge of sustainability issues impacting the medical devices industry
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, and a solid understanding of numerical analysis and familiarity with the use of analytical tools. They should also have knowledge and experience in parallel coding and spectral methods. They must have
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-haves: Completed Master's/Diploma degree in the field of biology First practice in scientific writing and with molecular-genetic research methods Didactic skills / experience in e-learning Strong IT user
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with UKAEA, providing opportunities for engagement with leading fusion research facilities. Together, they offer a wealth of experience in integrating simulation and experimental methods to solve real
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qualitative research using participatory methods and semi-structured interviews Analyse data, contribute to co-design workshops, write reports, and contribute to academic papers. Where required, public
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sustainable heritage management decisions (particularly in an African context), using advanced methods in satellite imagery analysis, remote sensing and machine learning, combined with geospatial analysis
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innovative methods to solve real-world problems whilst delivering significant academic contributions. The post is full time, fixed term for 24 months. You will be based in the newly renovated Stephenson