60 data "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" Postdoctoral positions in Australia
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data analysis and familiarity with HPLC/GC/LC‑MS Excellent communication skills and the ability to work both independently and collaboratively Experience with scale‑up/scale‑down approaches and an
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Macquarie University in Sydney, Australia. You will be working with A/Prof Benjamin Pope and A/Prof Christian Schwab on a full-time, fixed term period for 3 years. This role will develop and apply new data
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milestones and deadlines good analytical skills and attention to detail and ability to utilise data analytics and modelling software accordingly experience in space solar cells qualification, acceptance
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analyse data in the manufacturing process. The project is a partnership between Rux Energy and USYD and is a multi-disciplinary effort between scientists and engineers. We are looking for a Postdoctoral
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large-scale cross-cultural and longitudinal studies in collaboration with international research teams manage multi-site data collection, including ethical approvals and cross-country protocols conduct
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loading Flexible working Additional 3 days of leave over the Christmas Period Access to lifelong learning and career development Progressive HR practices More information on the great staff benefits
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discovery, generating mechanistic data that directly informs the development of next‑generation medicines for neurological disorders Base Salary, Academic Level A $113,400 - $121,054 + 17% superannuation
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essential PhD experience in single-cell research and data analytics, ideally in proteomics or transcriptomics. The candidate should have evidence for high-impact publications, experience working with HPC
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discovery, generating mechanistic data that directly informs the development of next‑generation medicines for neurological disorders Base Salary, Academic Level A $113,400 - $121,054 + 17% superannuation
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and aerosol characterisation, including: -Laser diffraction -Next Generation Impactor (NGI) -Liquid chromatography-based analyses Analyse and interpret experimental data to inform iterative formulation