8 machine-learning-phd "The Art Institutes" research jobs at University of London in United Kingdom
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meetings across the EU, perform R&D in the field of machine learning for plant species classification and support the implementation of the project application development. About You Applicants must have a
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characteristics using hybrid machine learning approach. This project is in collaboration with Kyushu University, Japan under the supervision of Dr Amin Paykani at Queen Mary University of London to realise
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apply Overview About the Role Applications are invited for a post-doctoral research associate to lead on a Barts Charity funded project. The research involves application of machine learning methods
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for this position will have a PhD in physics/biophysics/mathematics/bioengineering /bioinformatics/computational science or similar field, including significant experience in programming. In particular, past
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closely with team members with different research expertise, and also supervising current PhD students in the group. About You Candidates should have a PhD in mechanical engineering, biomedical engineering
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closely with team members with different research expertise, and also supervising current PhD students in the group. About You Candidates should have a PhD in mechanical engineering, biomedical engineering
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professional qualification (i.e. PhD, MD) in medicine, medical research or life science. Demonstrable experience and skills in in vivo procedures, i.e., creation of disease models, with a publication record
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relevant bioscience field, be motivated, self-driven and willing to learn new skills. Hands on experience with molecular biology techniques and mammalian cell culture is essential. Technical expertise and