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-year extension. The salary of the position is based on the salary system for the teaching and research staff of Finnish universities. The salary consists of a job-related salary element and a personal
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that shape aging trajectories. The project aims to analyze omics data (e.g., genomics, epigenomics, metabolomics, and proteomics) with Mendelian randomization and machine learning methods with longitudinal
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of the position is determined in accordance with the salary system for Finnish universities. The salary comprises two components: a job-related salary element and a personal salary element. For a Postdoctoral
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inequalities and Sobolev-type spaces (with Hytönen and/or Korte), 3. Conformal deformations of metric measure spaces and/or general regularity and convergence for graph-based machine learning using stochastic
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(linking phenotypes, imaging, cytometry, or other readouts to transcriptomics) Statistics / machine learning for biological inference (model validation, differential state testing, embeddings/classifiers
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with actual observational data. Candidates with observational expertise are also encouraged to apply as the project requires working closely with observational data, with a component of new observations
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resolution by integrating plasmonic nanopores with a high-speed Raman detection system, an automated control system, computer simulations, and advanced Raman-based bioinformatics. The RamanProSeq consortium
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communication Demonstrated track record in scientific writing and publishing We also appreciate the following know-how and experience in: Experience from machine and deep learning data analysis Experience from