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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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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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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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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
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independent research projects, report progress and track deliverables, work to develop innovative approaches to advance the field of tumor immunology and pancreatic cancer treatment, and help to train
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of this program is to discover clinically relevant candidates that can be fast tracked for clinical development. The lab uses a combination of bioinformatics, biochemistry, animal modelling, Crispr screening and
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We are hiring 2 Postdoctoral Research Fellows or junior faculty (non-tenure track Instructor or Assistant Professor) to join the global Cleveland Clinic Genome Center (https://www.lerner.ccf.org
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areas or equivalent qualifications Proven experience in structural biology, preferably by Nuclear Magnetic Resonance Spectroscopy, both in data acquisition and analysis Track record of working