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storage, organization, and inventory across multiple platforms. Strong skills in record-keeping, facilitating data upload to online repositories, and ensuring data integrity and reproducibility. Data
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artificial neural networks and fuzzy systems for KPI aggregation; Knowledge in data engineering, Python, and real-time data analysis. Generic Scientific Area: Electrical Engineering or Computer Engineering
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within the team under the Principal Investigator Assistant Professor Borame Dickens alongside multiple collaborators and experts. Methods include agent based/individual based modelling, SEIR modelling
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marine life support systems and autonomous scuba diving, as well as in programming with Python and R. Experience in animal behaviour and biostatistics. Participation in research projects in the fields
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Preferred selection criteria Experience with programming or scripting (e.g., Python, R, SQL) for spatial analysis or modelling Experience with participatory planning tools or civic technology platforms A
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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Transform/pseudospectral method for the development of numerical models Code scripts using programming languages such as Fortran, Python, and/or MATLAB Validate and test of new methods and perform numerical
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contributing to outcomes that matter to farmers, communities, and the planet. Key responsibilities will include: Advance innovative research in crop physiology and modelling across multiple crops (including
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policy relevance. Coordinate modelling activities across multiple projects and deliver high-quality outputs on time. Integrate new methodologies, including AI and machine-learning approaches
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-motivation. Applicant should have strong organizational skills as they will be expected to manage multiple projects simultaneously. Functional knowledge of programming in languages such as Matlab and Python is