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to the groups according to their needs. In your role, you will also provide one-on-one support for the researchers at the University of Helsinki from the perspectives of software, programming, Linux, data and
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the right to pursue postgraduate studies in the Faculty’s Doctoral Programme LUMETO; (iii) good knowledge of complex analysis and functional analysis as evidenced by transcripts; (iv) good command of written
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-time (55%) trainee. The application period is from 7 April to 28 April 2025. You are eligible to apply if you are an international student enrolled in a University of Helsinki master’s programme. Read
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Programme in Translational Medicine. It also offers psychotherapist education. In addition to its teaching and research activities, the faculty serves as a significant expert organisation in the healthcare
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to the groups according to their needs. In your role, you will also provide one-on-one support for the researchers at the University of Helsinki from the perspectives of software, programming, Linux, data and
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. The ideal candidate is collaborative and creative, has strong programming skills dedicated to the analysis of large-scale genomics data, and has a strong publication record. Experience with analysis
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, cancer genomics, or a related field. Applicants with a background in biology or (bio)medicine are welcome to apply, provided they have documented expertise in deep learning Proficiency in programming
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responsibility can relate to for example some of the following research topics. You are naturally welcome to suggest your own research plan: Development and use of generative AI for de novo molecular synthesis
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some of the following research topics. You are naturally welcome to suggest your own research plan: Development and use of generative AI for de novo molecular synthesis, enabling the design of novel drug
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treatments of many diseases that stem from misregulated gene transcription programs. More information about the lab, including the latest research and news, can be found here: https://www.helsinki.fi/en