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Field
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. The successful candidate will be supervised by an experienced and interdisciplinary supervisory team from School of Geography, Earth and Environmental Sciences, and Birmingham Energy Institute at the University
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Production (NBP) estimates from Terrestrial Biosphere Models (TBMs) with atmospheric transport models, the PhD candidate will also estimate how much the Cerrado and Caatinga biomes influence the carbon budget
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innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry tools
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: Develop innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry
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open. 01/01/2026 01/01/2026 1 (one) 1 (one) Australian PR, citizen, or an international student in Australia with a 1st class Honours in Civil, Environmental or Mechancial Engineering. Australian PR
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raw materials and reduce the environmental footprint of value chains. Crucial to the sustainability of circular value chains (CVCs) is an enhanced understanding of consumer preferences, responses and
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, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The research activities are organised in eight institutes. These institutes offer eight bachelor’s and twelve master’s
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We are seeking a highly motivated and talented PhD student to join our team at the Institute of Environmental Engineering at EPFL (the Swiss Federal Institute of Technology Lausanne). The selected
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of environmental modulation on gametic and early developmental epigenome and epitranscriptome. The project uses next- and third-generation sequencing technologies to generate the data. Zebrafish is a model organism
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This project aims to bridge the gap between technological advancements and their integration into societal and environmental systems by shifting from a product-centric to a service-oriented approach