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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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/researchgroups/rnacious-laboratory Molecular and Integrative Biosciences Research Program https://www.helsinki.fi/en/faculty-biological-and-environmental-sciences/research/molecular-and-integrative-biosciences
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) or reactive transport simulation codes (e.g., OpenFOAM, StarCCM+, PFlotran, TOUGHREACT, PHT3D etc.). Good programming skills in C/C++, Fortran, or Python. Knowledge and experience with HPCs. The work will be
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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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be applied for separately, please see: https://www.helsinki.fi/en/research/doctoral-education/the-application-process-in-a-nutshell Suitable doctoral programme is Food Chain and Health (FoodHealth
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well as programming skills. Publications in top-tier AI and NLP venues (e.g., NeurIPS, ICML, ICLR, JMLR, ACL, EMNLP, TACL) are considered a significant merit. Scientific interest and contributions in molecular
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their impact on gene function and structure using a range of sequence analysis and comparative genomic methods. The projects will also involve programming for data collection and analysis. As a
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function and structure using a range of sequence analysis and comparative genomic methods. The projects will also involve programming for data collection and analysis. As a PhD student, you will screen