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This postdoctoral role will be hosted within AbbVies Immunology Discovery Research and support a cutting-edge in vivo engineered cell therapy program with revolutionary potential to deliver cures for multiple immune
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biophysical forces at play, the similarities and differences across animals, and how IVF clinics can better decide which embryos to implant. This project will be aligned with the aims and objectives
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Experience working in diverse and interdisciplinary environments A collaborative mindset and commitment to equity and diversity Alignment with Manaakitaka and Lincoln University values. Kā hua ka riro ki a koe
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aligns with the focus of FoSS (HKU) and ISR (Michigan). good interpersonal, communication, organizational and problem-solving skills the ability to work under tight schedule to meet project deadlines
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protein-coupled receptors (GPCRs). Key responsibilities include: Conducting research aligned with defined project objectives Applying, analysing and interpreting pharmacological assays (e.g., ligand binding
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for undertaking high-quality research aligned with one or more of RMIT’s Strategic Research Priority Areas, contributing significantly to research outputs and translation, industry and public engagement, building
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. Documentary proof of qualification may be required. an outstanding record of research performance, with a research area that aligns with the focus of FoSS (HKU) and ISR (Michigan). good interpersonal
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: Develop innovative research programmes aligned with IDAI's research themes Propose, plan, and execute research projects under the IDAI banner Contribute to grant writing and project development to secure
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Interest We welcome applications from all disciplines aligned with one of the strategic research priorities below: Clean Technologies: Net zero innovation, sustainable energy, circular economy Life Sciences
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the broader scientific community through writing papers, presenting at conferences, and writing grants. Employ computational approaches to analyze complex data sets, including next generation sequencing data