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promotion and athletic performance, essential for maintaining functional capacity and driving physical development. However, prescribing RT is complex due to large inter- and intra-individual variability in
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their detection, (iv) enabling better analysis of exoplanetary radio emissions. • Use of data from the Juno/Waves mission and solar wind propagation models • Understanding the visibility biases of the various
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expertise in the field of advanced experimental and computational techniques for the analysis of aerodynamic systems as well as in flow control technologies. The group’s research is conducted within
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. Combining expertise in nanomaterials, colloid and analytical science, cellular biology and bioengineering, we investigate how nanoparticle structure and composition influence biological function. A particular
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machines are approaching their performance limits. Combined axial–radial flux machines provide a promising route towards more effective utilisation of machine volume through three-dimensional magnetic
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control applications? In this PhD project, you will develop methods for the analysis, verification, and design of neural-network-based controllers. Rather than treating safety and stability as properties
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-site, international research project. Your work will include qualitative and quantitative research, development and validation of quality-of-life measures, analysis of risk and resilience factors, and
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, or Python) are desirable experience working with children experience with the collection or analysis of EEG data is an advantage ability to work independently as well as collaboratively in
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plant health policy and practice. Research objectives The PhD research addresses the following objectives: Behavioural analysis: Identify and analyse behavioural drivers influencing stakeholder decisions
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these cycles - δ¹³C isotopic analysis of CO₂ and δ¹⁵N in soil and vegetation samples from sites with different management practices - Determination of the ecological functions of the microbiome: correlating