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/or medication security and sustainability. The position is open to applicants with a PhD degree in law with a topic that gives a good background for a post doc in this area. The post doc is expected
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studies and research work leading to a completed PhD thesis Your work may also include teaching duties (at most 5% of annual working time). Requirements and eligibility criteria For the Doctoral
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responsibilities Design, implement and benchmark deep machine learning models for large-scale cancer datasets that include genomics, transcriptomics, epigenomics and imaging data Collaborate closely with
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publication funding are included, and the role offers strong support for career development, including pathways to ERC Starting Grant applications. Essential Selection Criteria You must have: A PhD (or
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plan and research proposal. For the doctoral researcher’s position, the appointee must enroll as a PhD student at the University of Helsinki. The appointee should either already have the right to pursue
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integrating gene expression, chromatin accessibility, cell morphology, and spatial data, we aim to uncover shared regulatory disruptions across neurodevelopmental disorders. Postdoctoral Researcher in Single
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profiling. By integrating gene expression, chromatin accessibility, cell morphology, and spatial data, we aim to uncover shared regulatory disruptions across neurodevelopmental disorders. Host institution and
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. Backholm) would be your main supervisor. Together we would design your work so that it fits your background and interests and provides the best springboard for your future career. You would also work in
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information, visit the lab web pages: See also our recent publication: DOI: 10.1038/s41467-024-54445-1 Your qualifications We are looking for ambitious researchers with a PhD, a solid publication record, and
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in training and inference, integrated with our cluster. You don't need special knowledge already when applying - general knowledge of machine learning practices is enough, and you'll learn more later