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research. Key Responsibilities: Develop, implement, and optimize machine learning/deep learning models for digital pathology image analysis Analyze large-scale histopathology, omics, and clinical datasets
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data analysis, particularly structural equation modelling, using MPLUS/AMOS/R With evidence of proficiency in academic writing, such as published journal papers focusing on social network analysis
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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven
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environments, open-source genomics pipelines, and workflow management systems (e.g., Snakemake). Experience or knowledge of artificial intelligence, such as implementing neural network models, is advantageous
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exactly these values. To make sense of this conundrum, we need to shift away from researching democratic attitudes as a choice between alternative normative models of democracy, such as representative
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To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column when submitting your application: Curriculum vitae A cover letter, of no more than 800 words, explaining the applicant’s past research experience and aptitude in relation to the research...
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The post is part of EXPLORA (“Perception of materials, objects and spaces through active EXPLORAtion”), an MSCA Doctoral Network funded under Horizon Europe. Project 6, hosted at the University of Birmingham
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economic evaluation and analysis plans, conducting economic modelling and secondary data analysis, synthesising evidence, and producing high-quality research outputs. You will work closely with NHS and other
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(ISAC) for Future 6G Radio Access Networks. This exciting opportunity will see the successful candidate work on a collaborative research project with Interdigital, addressing technology creation
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of Civil and Environmental Engineering (CEE) at the National University of Singapore (NUS) is recruiting a post-doctorate Research Fellow. The successful candidate will work on developing Bayesian networks