280 Education-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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). A letter of motivation (maximum one page). A complete curriculum vitae describing education and employment history. List of scientific publications. Contact details of at least two possible reference
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Associate role is funded by the Leverhulme Trust and will research and develop computational/mathematical frameworks to study multi-scale processes linking molecular mutation to population dynamics. What you
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protocols and deadlines, and to plan and progress work activities Essential Application / Interview Ability to develop creative approaches to problem solving Desirable Application / Interview Experience
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. The post holder will be expected to conduct both independent and collaborative research, develop and evaluate machine learning methods, contribute to publications in leading academic venues, identify new
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BBSRC and is fixed-term to 31 March 2027. Brief to develop simple cell (SimCell, non-dividing bacteria cell) based biocatalyst to transform waste from cultured meat process into essential amnio acids and
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plasmon-enhanced spectroscopy. The successful candidate will develop and apply advanced optical techniques including dark-field spectroscopy, Raman spectroscopy, ultrafast and nonlinear optical measurements
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for cardiometabolic disease with associated neurodegenerative conditions. It aims to develop novel deep learning algorithms, audio and vision transformers, and hybrid attention mechanisms, to detect
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education, providing them with a talented workforce and benefiting from our collaborative research endeavours. Our University’s distinctive applied learning pedagogy integrates work and study, embedding
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replication system for the accelerated evolution of complex biological functions to i) advance fundamental scientific understanding of molecular and cellular evolution, ii) develop biomolecules to tackle
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We are seeking to appoint a Senior Postdoctoral Researcher in Statistical Machine Learning and Deep Generative Modelling to apply and develop cutting- edge deep generative probabilistic models