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degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http://www.nottingham.ac.uk/pgstudy/apply
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al. (2025). https://doi/10.1111/mbe.70006 Hawes et al. (2022). https://doi.org/10.1037/dev0001281 Royal Society (2024). https://royalsociety.org/-/media/policy/projects/maths-futures/mathematical-and
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more detailed description of the main research topics of the pure mathematics research groups at KU Leuven can be found here: https://wis.kuleuven.be/methusalem-pure-math/methusalem-lines-of-resear
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with a 1st class degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http
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the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships available in Digital Endocrinology in the Marie
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in the structured PhD programme at the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships
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offers parental leave (both paid and unpaid) You will have a training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and
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processes under changing climatic and land-surface conditions. Your tasks Develop ML models for dynamic, non-stationary processes relevant to flood occurrence and flood response, with a focus on changing
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impossible scientific approaches and to pursue categorically new questions. The PhD students will develop and implement data analysis pipelines, databases, data management and open science in close cooperation
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to develop a comprehensive modelling and analysis approach for hydrogen systems, such as electrolysers and their BoP systems, in meeting some of the below challenges in: advanced diagnostics and prognostics