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available for enthusiastic candidates interested in furthering their interests/knowledge in the control of agricultural insect pests. The overall research goal of the group is to develop new pest management
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for research leadership. Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships including with Aboriginal community-controlled organisations. Evidence of highly
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developmental system drift in the regulatory networks controlling olfactory gene expression across drosophilids (in collaboration with the Prieto Godino lab); (3) modelling how genetic systems respond
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and human HFpEF using multi-omics approaches. Perform bioinformatics analyses of sequencing datasets, including data processing, quality control, integration, and biological interpretation. Integrate
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. Development and validation of a clinically relevant oral wear protocol. Establish a reproducible protocol using defined antagonists, saliva-based media, controlled temperature, cyclic force, sliding contact and
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delivery of two studies evaluating different malaria vector control tools. The first study aims to evaluate a DEET-based topical repellent in an individually randomized study in a moderate-high malaria
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systems for use in breaking waves, both in the field and in the lab Contribute to analysis of images, and development of the open-source analysis software PyOPIA (https://github.com/SINTEF/pyopia
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for research expenses including publication charges, related conference travel, workshops, and computing resources will be available. Further information about the BHI may be found at http
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motivation for interdisciplinary collaboration. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/307596/phd-research-fellow-in-soft-matter Where to apply Website https
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to full-crown and crown-like specimens tested against defined natural or restorative antagonists. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/307075/phd-research