135 linked-data-"https:"-"https:"-"https:"-"https:" Fellowship positions in Australia
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- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
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- ATA Scientific Awards
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- Iberdrola First Nations Scholarship Program
- La Trobe University
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seminars, demos, and hands-on training throughout the year, covering instrument operation, measurement techniques, software use, and data interpretation. Designed for both new and experienced users, our
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researcher and primary point of contact for the project designing, collecting, and analysing data using appropriate computational, experimental, or corpus‑based methods preparing manuscripts and
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Laboratory Operations: Drive the administration and coordination of research projects, oversee day-to-day research activities within the Belz Research Group, manage experimental workflows and data
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economic findings. Experience engaging with industry partners on technical data collection. Evidence of publications in reputed refereed journals and presenting at conferences. Evidence of contributions
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, and computational biology, as well as practical experience in dynamic model development and the analysis of large-scale biological data, who are excited to apply rigorous computational modelling
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mathematical programming, software verification and testing, documentation, and new ways for researchers to interact with computational mathematics software compile data sets relevant to research in
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selective biomolecular recognition and separation applications. Demonstrated ability to apply computational and data-driven approaches, such as molecular modelling, molecular docking, virtual screening, or
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and related geomorphological processes conduct fieldwork, sample collection and data analysis across coastal environments publish high-quality research outputs in leading scholarly journals contribute
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teams to meet deadlines and research goals. Apply or develop genomics, bioinformatics or advanced molecular data analysis skills relevant to pathogen detection and characterisation. For further
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dynamics, stability analysis, renewable energy integration, or related areas. Knowledge of data-driven analytics, machine learning, signal processing, or advanced modelling techniques relevant to power