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economic impacts across the project and developing a common understanding of the requirements for quantifying inputs and outputs from all steps within ReLiB processes. This momentum will continue to drive
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forecasts. The RF will be part of a research environment with strong ML activities. The post is mainly part of the project ‘HEavy Precipitation forecast Post-processing over India with Machine Learning
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well as participate in using the quantum technology sensors Process, analyse and interpret data from the trials, using existing models and develop new techniques Collaborate with interdisciplinary teams to interpret
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: Experimental low-temperature physics focussed primarily on growth of crystals of new 2D materials via chemical vapour transport or flux methods. Handling of hazardous chemicals and running chemical processes
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successful applicant will be able to develop research objectives, projects and proposals; identify sources of research funding and contribute to the process of securing funds and make presentations
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using UV-Vis absorption and fluorescence spectrometers. Interest in interdisciplinary research and willingness to learn new techniques. Experience with data processing, analysis and interpretation
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formation and to optimise process protocols. The Research Fellow will play a central role in this work. The post holder will design and implement data extraction and preparation pipelines for heterogeneous
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across the IGNITE themes through the development and application of advanced Multiphysics models of the Electric Arc Furnace (EAF) process for sustainable steelmaking. They will help design and refine
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project partners, and effectively benchmarking the performance of these recycling routes to determine and evaluate processing characteristics on the material streams. A truly interdisciplinary project
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recycling streams targeting materials suitable for relithiation and direct recycling, and effectively benchmark performance of these recycling routes to determine and evaluate processing characteristics