25 parallel-processing-bioinformatics Postdoctoral positions at Durham University in United Kingdom
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status. If you are a candidate with a disability, we are committed to ensuring fair treatment throughout the recruitment process. We will make adjustments to support the interview process wherever it is
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, and workshops. We aim to provide a supportive and friendly environment with a strong sense of community. The Department currently has 16 permanent members of staff, following a process of significant
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behaviour of so-called yield stress fluids, which keep their shape like solids at low loads, yet flow like a liquid at larger loads. One possible focus could be on the dynamical process whereby a material in
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dioxide and sustainability Carbon dioxide is essential for life. It is at the beginning of every life process as a substrate for photosynthesis or chemosynthesis. It is at the end of every life process as
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. The University has been awarded the Disability Confident Leader status. If you are a candidate with a disability, we are committed to ensuring fair treatment throughout the recruitment process. We will make
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tools that enable optimal design and operation of greener vessels, backed by real-world demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI
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. The University has been awarded the Disability Confident Leader status. If you are a candidate with a disability, we are committed to ensuring fair treatment throughout the recruitment process. We will make
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Confident Leader status. If you are a candidate with a disability, we are committed to ensuring fair treatment throughout the recruitment process. We will make adjustments to support the interview process
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aim to provide a supportive and friendly environment with a strong sense of community. The Department currently has 116 permanent members of staff, following a process of significant growth
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beginning around October 2025 (although there is some flexibility in this date, in both directions ). The position is funded by NSF-EPSRC grant ‘Stochastic Shape Processes and Inference’, in collaboration