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degree in architectural engineering, civil engineering or a related field. Candidates with experience in areas such as building performance simulation, environmental sensing, data mining, and statistics
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. The project adopts a broadly political ecology theoretical approach, and will involve research at many different scales, from international policy arenas right down to the level of individual mines, farms and
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unresolved issue: how the interaction between humans and technology in safety-critical maintenance work affects risk and productivity in the Swedish mining industry. Effective maintenance is the foundation
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CLIMES Doctoral Network, we are looking for a candidate to use text mining, natural language processing, and large language models to extract, analyse, and spatialise information on the socioeconomic and
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techniques employed include high-throughput cell based screening, flow cytometry and preclinical treatment models. Informatic approaches include data mining and manipulation of large pharmacogenomic matrices
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, metabolisms, genome mining…) will be prioritized. Experience in native protein purification, biochemistry, and structural biology is welcome. Specific Requirements Given the nature of the European project
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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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development. In the frame of a third party funded research project, we are looking for a PhD Student to work on and develop breeding strategies to mine comprehensive winter-wheat populations: Your tasks: Curate
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Western Australian School of Mines (WASM) Course type Postgraduate coursework Citizenship Australian Citizen Australian Permanent Resident New Zealand Citizen Scholarship base Merit Based Value
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system-level visibility. Combined with data-mining methods and embedding techniques, these approaches create opportunities to generate more informed and efficient design solutions. Aim The PhD will focus