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Strong communication and teamwork skills You may also have Network inference and analysis experienc Machine learning experience Track record of completed research projects (e.g., publications, tools
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. Experience in the implementation of mathematical or statistical models and model fitting, including Bayesian model fitting, is desirable but not essential. Familiarity or experience of management and analysis
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possible thereafter. The aim of this project is to advance the development of multi-trait Bayesian linear regression models that enable the sharing of genomic information across traits and biological layers
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expertise in machine learning and/or Bayesian models is preferred. This position will involve both methodology development and analysis of multi-omic sequencing data, including spatial transcriptomic data
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preferred) Training in molecular and cellular biology Proven track record of successful research projects and publications Excellent analytical and problem-solving skills Effective communication and
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to evaluate and validate naïve pluripotency. Transcriptomics and network inference will be supported by computational/bioinformatics members of the team. Chimaera studies will be in partnership with our
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desirable Excellent communication and presentation skills Evidence of consistent scientific innovation. Proven track record of publications in peer reviewed journals Able to work independently as well as in a
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/biophysical assay development Experience in chemoproteomics is desirable Excellent communication and presentation skills Evidence of consistent scientific innovation. Proven track record of publications in peer
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tenure-track Group Leader appointment at the end of this period, subject to review. If the candidate selected meets the requirement for tenure-track prior to the end of the five-year Fellowship an earlier
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in image processing, quantitative analysis, and biological interpretation Proficiency in AI/machine learning tools for image segmentation, transformation, registration, or tracking Solid mathematical