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. Analyze large datasets from battery systems to improve model accuracy and performance. Conduct research on predictive analytics for real-time battery health monitoring and fault detection. Collaborate with
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, ions, and gases; and (iii) quantitative analysis of deuterium (D) retention and thermal stability of the retained D using TPD. Surfaces will be exposed to ion beams with well-controlled energies and
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applications. Collaborate with project partners and compile, analyze, and document research findings. Disseminate results through the writing of scientific publications and technical deliverables. Work closely
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ca 4000 – 1700 BCE, by analysing archaeological contexts that might point to feasting events, and by performing isotope analysis, in particular on Oxygen and Carbon isotopes, on selected human remains
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of the ubiquitin system that drive its dynamic interactions. Objectives. The post-doctoral fellow will work on the development of a robust detection pipeline for sub-single-cell proteomics. Training and research
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in Computational Biology. The candidates should be highly motivated and have a Ph.D. in computational biology or any related field, and a good knowledge of molecular biology. The candidate will be part
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analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies
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About the role The Kelly lab is excited to announce a new post-doctoral position in computational biology. This position is funded as part of an international consortium of scientists who
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their impact on bladder function under physiological and pathological conditions. Work will include data acquisition, analysis, and interpretation, as well as collaboration with clinicians for human
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cancer in Barrett’s esophagus. Experience in analysing large datasets in R is essential but will also involve the use image analysis software such as Qpath. About You We seek an ambitious and self