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Postdoctoral Researcher in Multimodal Machine Learning for Precision Cancer Medicine The Machine Learning in Biomedicine (MLBioMed) research group at the Institute for Molecular Medicine Finland
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at the Faculty of Medicine, University of Helsinki. The project will focus on using and extending deep learning-based approaches developed within the group to integrate bulk multi-omics cancer data. The Kuijjer
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close collaboration with other postdocs and doctoral researchers of our team. The group currently consists of five postdocs, four doctoral researchers, and several undergraduate researchers. We work
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CV (max 3 pages) including a list of publications, and the names and contact information (e-mail, telephone number, relation to the applicant) of at least two references who have agreed to provide a
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of large-scale genomic data sets is a requirement for this position. Experience with data integration, machine learning, network science, cancer biology, and/or gene regulation is considered an advantage
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contact: osamu.shimmi@helsinki.fi Osamu Shimmi, Ph.D E-mail: osamu.shimmi@helsinki.fi HiLIFE/Institute of BiotechnologyUniversity of Helsinki, Finland References Tran, N.V., Montanari, M.P., Gui, J
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: maria.vartiainen@helsinki.fi Maria Vartiainen, Research director E-mail: maria.vartiainen@helsinki.fi HiLIFE/Institute of BiotechnologyUniversity of Helsinki, Finland
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. GEOCLOUD investigates the interaction of business incentives and state security concerns in shaping computational infrastructure. Its geographic focus is on North/West Europe and East/Southeast Asia within
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motivation statement for applying for this position, (iii) contact information of at least one reference (name, relation to candidate, e-mail and telephone number) who has agreed to provide a written statement
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motivation statement for applying for this position, (iii) contact information of at least one reference (name, relation to candidate, e-mail and telephone number) who has agreed to provide a written statement