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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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studies. Leading data analysis, contributing to research dissemination, and mentoring lab members along the way. With a combination of wet lab techniques and cutting-edge bioinformatics tools, you’ll
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Xenograft Models (CDX and PDX), High-throughput Screening, biochemical and biophysical assay development, Bioinformatics, Depmap, TCGA, Computational Biology. Growing national reputation within academic field
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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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isolation, microscopy, proteomics, single cell RNA-sequencing, bioinformatics, and/or human stem cells will be viewed as an asset Willing to work with animal models Fluent oral and written communication
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. Practical knowledge of bioinformatics. Skills Essential: C1. Commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources, and practices
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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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mechanisms, with a track record of creative research in molecular biology, cell biology, genomics, imaging approaches and/or bioinformatics. If selected for this position, you will be expected to: Develop and
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completed application form, including any additional documents required, well in advance of the desired selection date. Applications are usually processed within four to seven months. Incomplete or inaccurate
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and a strong desire to gain experience in bulk and spatial metabolomics. Solid bioinformatics skills, including familiarity with tools for analyzing omics datasets and integrating molecular data. About