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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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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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and industrial security architects across Europe. The successful candidate will focus on one of following aspects: Privacy Preservation: Investigating the integration of Federated Learning, Differential
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of a highly experienced and enthusiastic research team and Unit, with whom you can share and develop your expertise Career development and learning opportunities in a multidisciplinary, international
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The Machine Learning for Health team at the Institute for Molecular Medicine Finland (FIMM) , University of Helsinki, is currently seeking a highly-motivated postdoctoral researcher to join our team
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language and in scientific data processing and analysis Willingness to learn new and multidisciplinary skills as needed Ability to work both independently and in a team, good communication and interpersonal
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of quantum walk algorithms, variational quantum algorithms and their optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum
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learning methods to analyze high-dimensional multi-omics data, including exposomics, genomics, shotgun metagenomics, glycomics, proteomics, and metabolomics, in the context of human health and disease
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competitive research. The University is committed to supporting employee wellbeing and work-life balance. Learn more on our Welcome to Work with Us page. The European Commission has awarded the University
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Destination Earth Climate Change Adaptation Digital Twin Project, Phase 3 (https://destine.ecmwf.int /), where INAR is a contributing member. The Climate DT project is setting up an operational simulation