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fields in biomedicine with an excellent PhD degree awarded. The candidate should be committed to developing a dynamic, academic career in science and have excellent communication skills in written and
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-life environments. The Role: As Research Fellow on the COG-MHEAR project, you will have the opportunity to use your strong background in deep neural networks and multimodal hearing-aid signal processing
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research projects Contribute to other research projects both internally and with external collaborators Guide PhD students in their research About you… The essential criteria you will bring… PhD, or in
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place to define your career. The University is located within a beautiful historic city, home to a UNESCO World Heritage Site, and surrounded by stunning countryside. Our talented scholars and researchers
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discipline (Minimum standard 2.1) Have, or about to obtain*, a PhD in drug delivery/pharmaceutics/ engineering (*must be obtained within 3 months of commencement of employment) Substantial relevant research
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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postgraduate degree, ideally a PhD, in statistics, machine learning, or a related field. Experience of developing new statistical methods and a strong working knowledge of a statistical software package, such as
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: robotics, smart technologies, software engineering, security and data analytics. You will be contractually enrolled into the Teachers’ Pension Scheme (TPS) – one of the largest and most generous defined
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-depth characterisation and annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based
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and FDS is preferred. Candidate preferably should be familiar and have sufficient experience in using ANSYS FLUENT and FDS, Meshing tool and post-processing software. Able to work independently with