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) to collect structural and dynamic MRI data. ● Quantitative analysis: develop pipelines for dynamic MRI and physiological data; integrate multimodal metrics to uncover fluid-flow interactions
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-ready presentations Ability to work with social media data, including unstructured text and images Ability to work with structured datasets in Microsoft Excel, including cleaning and organizing dat and
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-resolution imaging and spectroscopy of nanoparticles using advanced broad- and focused-beam transmission electron microscopy (TEM) techniques. 2. Structure–Catalysis Relationships at the Atomic Scale You will
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, including protein structural analysis Job Requirements: PhD in Biological Sciences, Bioinformatics, Computational Biology, or related fields Prior research experience in machine learning or systems biology is
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University of Oxford and Kavli Institute for the Physics and Mathematics of the Universe, University of Tokyo, structured such that the first 18 months of this position will be based in Oxford, with Dr Will
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skills In-depth knowledge relevant to the project domain (including algorithms, systems, data structures, machine learning). Demonstrated capability to conduct innovative research. Ability to design and
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years This role will contribute directly to drug discovery efforts through the design and synthesis of small-molecule inhibitors. The postholder will use structural, biochemical and microbiological data
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design, development and execution of biochemical and biophysical assays to identify and evaluate inhibitors targeting mycobacterial proteins. Working closely with chemists, structural biologists
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containing descriptive, analytical, and evaluative content that may be submitted for publication. Constructs tests or assists in the construction of tests. Collaborates with other researchers. May supervise a
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facility in Mickleham, Victoria. You will work closely with DAFF plant pathologists and CSIRO experts in microRNA research and bioinformatics, as part of CSIRO’s structured early‑career development program