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Field
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well as experimental and computational approaches. The ideal candidate will have a strong interest in gene regulatory mechanisms, with a track record of creative research in molecular biology, cell biology, genomics
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recruiting a post-doctoral researcher to develop computational models to study the spatial organization and microenvironment interactions in tumors using spatial multiomic data. The lab focuses on mathematical
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. The position is funded for 12 months in the first instance. About you The successful applicant will hold a BSc or equivalent qualification in a relevant discipline (Neuroscience, Molecular Biology, Physiology
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research, combining laboratory and computational work. Experience with live-cell confocal microscopy is an advantage. Experience with quantitative cell biology and computational modelling, especially using R
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, data analysis and interpretation, statistical calculations, prepare PowerPoint presentations, perform literature research on specified topics, and draft research manuscripts for publication and other
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and will work closely with our systems biology and fermentation team to develop a novel microbial cell factory and implement strategies for the engineering of metabolic pathways in yeast, particularly Y
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to design and perform experiments, data analysis and interpretation, statistical calculations, prepare PowerPoint presentations, perform literature research on specified topics, and draft research manuscripts
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for a Research Fellow in Bioinformatics/Computational Biology to help develop, coordinate, and conduct robust analysis of high-throughput host protein data under supervision using advanced analytical and
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contribution to society. Required Qualifications* PhD in computer science, computational biology, or related quantitative fields. Strong oral and written communication skills Desired Qualifications* Generative
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, Genomics, or a related field such as Computer Science, Biomedical Sciences, Molecular and Cellular Biology, or Cell Biology, with demonstrated computational expertise. Individuals with background in physical