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supervision, mentoring and School activities that support diversity, inclusion and public engagement. You may be a great fit if you: Hold a completed or near-completed PhD in computational biology, computer
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expected to contribute to theme (1), broadly construed. More general themes of interest and expertise in the group (currently comprising 2 PhD students and 2 postdocs) include causal reasoning and inference
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interdisciplinary (https://juanguanlab.wixsite.com/biophysics/ ). The team combines cell biology, quantitative imaging, and biomaterials to probe the underlying mechanisms in biophysical systems and explore new bio
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and injury. We are looking for recruits whose research program that align with any of the current research themes at ARMI: https://armi.org.au/our-groups/ Heart and Muscle Development and Regeneration
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that you do not need to satisfy every single criterion to apply. A strong willingness to learn is key! Track 1: Imaging & In Vivo Biology Preferred Experience: Hands-on experience with optical microscopy
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academic journals (audience: research community) About You We encourage applications from individuals with a wide range of backgrounds and experiences. You should demonstrate: Essential Criteria: Holds a PhD
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exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in
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materials must be submitted here to this Interfolio listing: https://apply.interfolio.com/187576 . Only materials submitted through the Interfolio link will be reviewed. Do not submit materials
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determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . Create a Job Match for Similar Jobs About Harvard University Harvard University is devoted
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streams with perturbation signatures and fit these. For these fits, we will explore the speed up from using GPUs as well as machine learning techniques, e.g. simulation-based inference. Finally, we will use