494 parallel-processing-bioinformatics-"Multiple" Fellowship positions in United Kingdom
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. They will work on developing novel computer vision methods to improve decision making. The project will provide an opportunity to collaboratively work with computational scientists, pathologists and clinical
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recurring theme of doing things differently – and achieving notable results. We are now seeking an enthusiastic Postdoctoral Research Fellow in Biological Signal Processing to work within a diverse research
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foundation in fundamental biofilm research, microbial community assembly and manipulation, and biofilm reactor operation is essential. Experience in metabolic engineering is desirable. The successful candidate
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foundation in fundamental biofilm research, microbial community assembly and manipulation, and biofilm reactor operation is essential. Experience in metabolic engineering is desirable. The successful candidate
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experimentation and thermodynamics calculations. Establish a high-throughput bulk materials processing route to enable efficient characterisation and parallel testing of multiple compositions. Develop a high
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pollutants from wastewater. A solid foundation in fundamental biofilm research, microbial community assembly and manipulation, and biofilm reactor operation is essential. Experience in metabolic engineering is
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, covering areas from neuroscience and biochemistry to zoology and bioinformatics. Our neuroscience research spans multiple levels—from genes and molecules to behaviour and cognition. Visit the School of Life
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of siRNA-peptide conjugates across multiple human, primate and mouse cell lines. We are therefore seeking a highly motivated and organised individual with proven expertise in human tissue processing and cell
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision