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expected to plan appropriately for their own future career development, which may include networking and submitting funding applications. This is a fixed term post of up to 20-months duration. Main Duties
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science or other relevant area. Have or be about to obtain a PhD in a relevant subject. Experience: Specific, relevant research experience working on a project that relates to health and social care
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, 2) design and evaluation of technology to reduce the carbon footprint of the health and social care system. Qualifications/ experience: PhD in in a subject relating to health services research
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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
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The emergence of edge AI systems—AI deployed on resource-constrained, often battery-powered, devices at the edge of the network—presents critical security challenges. These systems are increasingly
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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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the application process, please contact Biosciences staffing at . About you You must have a PhD (or be studying towards it) in Medical Physics or Bioengineering, Computational Neuroscience, Applied
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project “Fern seed found? Testing a new hypothesis for the origin of seed gene networks”. This project aims to use reverse genetics, cross-species complementation and single cell next-generation sequencing
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opportunity As a Research Fellow in the Zero Net Emissions for Agriculture CRC, you'll play a crucial role in assessing greenhouse gas emissions reduction options for Australian farms. You'll utilise your
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The EPSRC Postdoctoral Pathway supports EPSRC-funded PhD graduates who are excited about taking the first steps towards research independence with a two-year Fellowship. The scheme offers