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PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large language models (LLMs), including
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of renewal. Responsibilities • Establish and manage large databases. • Interpret and analyse data • Generate reports and presentation of data to relevant stakeholders • Generate conference
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computer simulations Test the methods via lab experiments Publish results in top-tier journals in related fields Assist in mentoring PhD students Job Requirements: A PhD degree in control systems engineering
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the financial sector and the economy at large. This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and
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and the economy at large. This role is ideally suited for those wishing to work in academic or industry research in the financial sector, particularly in the area of quantitative analysis
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statistical methods for high-dimensional omics data, including multi-level data (subject, tissue, single-cell) with or without spatial features. • Data Analysis: Analyse large-scale omics datasets, interpret
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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socio-development contexts. Applicants with interest in doing post-graduate/doctorate studies, honing their skills in conducting advanced data analysis and publishing research papers are invited to apply
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large. This role is ideally suited for those wishing to work in academic or industry research in the financial sector, particularly in the area of sustainable, responsible, and green investing and
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and the economy at large. This role is ideally suited for those wishing to work in academic or industry research in the financial sector, particularly in the area of portfolio allocation and stock