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will join a research group working on longitudinal models of multiple chronic diseases across the life course. The postdoctoral researcher will contribute to building and evaluating machine learning
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, implement and benchmark machine learning models for large-scale health datasets consisting of diverse information including structured medical history, demographics, clinical notes, laboratory measurements
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on health data as well as training AI models on health data across national borders. Key responsibilities Design, implement and benchmark machine learning models for large-scale health datasets consisting
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, Python-language and scripting as well as Linux and HPC environments. Previous experience in model evaluation, statistical data analysis, and machine learning are seen as advantages. The position involves
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including high-impact scientific publishing, and collaborative research with international teams. Who we are looking for Requirements MSc degree in Computer Science, Data Science, Machine Learning, or a
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in applying computer vision and machine learning to environmental and
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experience in model evaluation, statistical data analysis, and machine learning are seen as advantages. The position involves attending international conferences and presenting scientific or technical work in
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collaborate with partners at ELLIS Institute Finland. Target publications at top-level AI, ML, and NLP venues. Who we are looking for Requirements Ph.D. in Machine Learning, Natural Language Processing
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. Essential qualifications PhD in computational statistics, bioinformatics, systems biology, or a related field. Strong expertise in statistical methods, including machine learning approaches, for analysis
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international collaborations in multi-disciplinary research ranging from the development of data analysis and machine learning methods to applications in omics research. Researchers in Finland have access