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learning – and we are growing and seeking: Postdoc / PhD Student / Entrepreneurial Postdocs to join the Institute and its wider research community. We welcome applications across all areas of machine
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frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems
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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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modern workspaces and inspiring meeting areas for smooth collaboration. The international HR Excellence in Research award reflects our commitment to high-quality HR practices. Learn more about us: https
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Proven experience with deep learning frameworks such as PyTorch, and familiarity with multimodal data fusion is highly desirable Ability to work independently, as well as collaboratively in
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the Finnish population and advancing promising therapeutic strategies toward clinical application. The group collaborates extensively with national and international partners. Our work spans patient-derived
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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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fixed term of 2 years, with a possible extension to a third year. The project is funded by the Centre of Excellence in Quantum Materials (QMAT) and will be carried out in close collaboration with
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-field device, in close collaboration with other consortium researchers developing and executing applications on low-field MRI collaborating with national and international research institutions and
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for our research, with a strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten