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measurements, biogeochemical rate modelling, high resolution 3D-imaging, isotope labelling and integrated geobiological data analysis. Analytical approaches implemented can include a multitude of advanced
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Job Reference:1041374 Are you a hands-on science enthusiast with a flair for research, lab work, and data analysis? Join a world-class research team driving innovation in resource recovery and
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labelling and integrated geobiological data analysis. Analytical approaches implemented can include a multitude of advanced molecular, microscopically and geochemical techniques and protocols such as
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for analysis of routinely collected healthcare data. They will have experience in designing and implementing economic evaluation models, including decision-analytic modelling, and good knowledge
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responsible for designing and executing animal experiments and analyzing multimodal biological data. Basic Qualifications: Ph.D. in a relevant field (e.g., electrical engineering or neuroscience). Additional
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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, the fellow will be expected to design and execute experiments, analyze data, write and prepare independent grant applications and manuscripts for scientific publications, and supervise graduate students. Job
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technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home Applications are invited for a Research Fellow
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. Skills: Strong analytical and problem-solving abilities, excellent communication skills, and the ability to work both independently and collaboratively. Contact Information: Melissa Mendez Contact Email
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Responsibilities: Undertake research on algorithms and data systems for next-generation data preparation and data cleaning for data analytics. Produce research papers, reports, and presentations as required by